Coverage adjudication

stale · v2 provisional awaiting approval

Of the spans the matcher could not resolve, which are real gaps?

for A deep learning pipeline for mapping in situ network-level neurovascular coupling in multi-photon fluorescence microscopy · this layer across all papers · json

Provisional

This layer needs a corpus-scope decision that has not been ruled on yet, so what it produces would change if the decision changed. It waits on claim-format, relation-vocab.

Awaiting approval

Waiting for approval. That is a statement about the record, not about whether anyone has read this: people read the corpus without stamping what they read, and only a stamp leaves a trace. Approval is an operation on a version, not a step of its own — it is recorded against the version it was granted to, so running this layer again does not carry it forward.

Out of date

These inputs changed after this ran:

  • coverage/rozak-2026-neurovascular-dl.json

What it produced36 spans

Read from mappings/rozak-2026-neurovascular-dl.json · 10 KB. adjudicated 2026-09-11by supplied:runs/rozak-2026-neurovascular-dl/adjudication.answer.json

# uidverdictclaimwhyshaclaim_shatree
1 results-010 covered novas3d-outperforms-ilastik These are the segmentation metrics on which the claim asserts the deep-learning pipeline beats the ilastik baseline for both channels. ce79aded b075a399 —
2 results-014 not-an-assertion — A description of how the displayed raw images were prepared for visualisation, not a result. ca459cd2 — —
3 results-017 not-an-assertion — A statement of how the ground-truth masks were produced - dataset preparation rather than a finding. 8bc89fe7 — —
4 results-018 not-an-assertion — A bare panel label naming which model produced the displayed masks. 789333cc — —
5 results-019 not-an-assertion — A bare panel label naming which model produced the displayed masks. 1f63868e — —
6 results-020 not-an-assertion — A bare panel label naming which model produced the displayed masks. 4a408204 — —
7 results-029 covered radius-estimation-r2-0p68 This is the R-squared of 0.68 against simulated radii across more than 100,000 simulations that the claim states. f408b219 6c7f9242 —
8 results-032 not-an-assertion — An illustrative cross-section showing the method's detected boundary on one example capillary, not a reported result. e9e17c23 — —
9 results-034 covered radius-estimation-r2-0p68 The claim that the estimator recovers known simulated radii is what this correspondence plot displays. 8eb0f985 6c7f9242 —
10 results-035 not-an-assertion — An illustrative cross-section showing the method's detected boundary on one example capillary, not a reported result. 61a7b5d4 — —
11 results-037 covered radius-estimation-r2-0p68 The claim's assertion that the estimate stays stable under added Gaussian noise is exactly what this panel shows. 5b23492d 6c7f9242 —
12 results-043 gap — No claim covers the microsphere phantom validation - that averaging more orthogonal planes and spokes converges the diameter estimate onto the manufacturer's 7.32 um specification; the radius claim re… 54175fa6 — 518d9a43
13 results-044 not-an-assertion — A bare table title. c644b58f — —
14 results-049 covered baseline-intra-vessel-radius-varies-24pct The claim about baseline variability in vessel radius accounts for this display of per-segment baseline standard deviations. 31e76704 f8534936 —
15 results-051 covered vessel-radius-heterogeneity-stimulation The claim that radius adjustments during stimulation vary within vessels accounts for this segment-wise and vertex-wise comparison. 423d6eeb 58e01cc1 —
16 results-052 covered dilations-nearer-neurons-than-constrictions The claim relates the direction of the radius change to distance from the nearest labelled pyramidal neuron, which is the relation shown here. 8b07612f aecfb536 —
17 results-057 not-an-assertion — A bare table title. 4a698552 — —
18 results-059 covered baseline-intra-vessel-radius-varies-24pct The claim about baseline variability in vessel radius is the quantity this table panel tabulates. b9ea6caf f8534936 —
19 results-060 covered vessel-radius-heterogeneity-stimulation The stimulation-evoked radius changes tabulated here are the ones the claim quantifies. 5caf258c 58e01cc1 —
20 results-061 covered vessel-radius-heterogeneity-stimulation Within-vessel heterogeneity of the radius change is precisely what the claim asserts. 80309f9f 58e01cc1 —
21 results-062 covered dilations-nearer-neurons-than-constrictions The claim states the vertex-to-nearest-neuron distances for dilating and constricting vessels that this panel tabulates. e60f9123 aecfb536 —
22 results-067 covered artery-dilates-venule-unchanged-at-low-power The claim reports the radius responses of the sample artery, capillary and venule whose before-and-after centreline profiles this panel shows. ce13bb87 b8e6bc99 —
23 results-068 covered artery-dilates-venule-unchanged-at-low-power These vertex-wise changes for the three sample vessels are the responses the claim quantifies. df9059ba b8e6bc99 —
24 results-069 not-an-assertion — A bare panel label with no text. e4b1c778 — —
25 results-074 not-an-assertion — A pure cross-reference to Table 3. 114f7a19 — —
26 results-081 not-an-assertion — A bare table title, which restates the responder threshold rather than reporting a result. e1ab6c7b — —
27 results-084 gap — The control claim compares only dilation magnitudes between blue and green light; the distribution of constriction magnitudes shown alongside them is stated by no claim. 8c546b48 — 518d9a43
28 results-085 covered dilations-nearer-neurons-than-constrictions The claim states how capillary radius changes are distributed relative to the closest pyramidal neurons, which is what this panel displays. c61b0b32 aecfb536 —
29 results-087 covered constrictions-deeper-than-dilations The claim asserts that constrictors sit deeper and dilators nearer the surface, exactly the tendency this panel reports. 650b2397 5a8b09df —
30 results-094 gap — The tree's light-control claim covers dilations only; the constriction magnitudes under 458 nm and their excess over the 552 nm control are reported by no claim. a320790a — 518d9a43
31 results-102 not-an-assertion — An illustrative rendering of one image stack's vascular graph, showing the representation rather than asserting a finding. c3f65749 — —
32 results-108 covered capillary-efficiency-increases-4pct The claim that capillary network efficiency rises during stimulation is this significant increase over the green-light control. cb2d63bf bd339257 —
33 captions-003 not-an-assertion — A description of the microscope's emission path and filters - instrument setup, not a finding. 7c41dff4 — —
34 captions-061 covered capillary-efficiency-increases-4pct The claim that capillary network efficiency rises during stimulation is this significant increase over the green-light control. cb2d63bf bd339257 —
35 tables-001 not-an-assertion — A bare table title. c644b58f — —
36 tables-002 gap — These rows are the only place the phantom accuracy figures appear - the bead diameter estimate tightening from 7.54 plus or minus 0.68 um to 7.34 plus or minus 0.32 um as averaging increases - and no … c36e0983 — 518d9a43

How it is defined

A model answers this layer, so the prompt is the layer. It is reproduced below from the committed file, and it is a declared input — editing it makes every run that used it stale.

extract/prompts/coverage-adjudicator.mdthe prompt it runs undernot in the repository

The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.

scripts/adjudicate.pythe script that runs itnot in the repository

The declaration names this path and the repository does not have it. An input that does not exist hashes to nothing, so it cannot make a run stale — the layer is declared to depend on something it is not in fact tracking.

Artifacts

Versions

From the run ledger. There is no changelog beside it to keep in step.

  1. v2 · 2026-09-11 · supplied:runs/rozak-2026-neurovascular-dl/adjudication.answer.json

    re-validated against the current tree; verdicts now carry the tree fingerprint

    python3 scripts/adjudicate.py rozak-2026-neurovascular-dl --answer runs/rozak-2026-neurovascular-dl/adjudication.answer.json

  2. v1 · 2026-09-11 · supplied:runs/rozak-2026-neurovascular-dl/adjudication.answer.json

    verdicts answered by Claude Opus 5 through --dump-prompt

    python3 scripts/adjudicate.py rozak-2026-neurovascular-dl --answer runs/rozak-2026-neurovascular-dl/adjudication.answer.json

This layer across the corpus

Across the corpus

10 stale·a paper links to its own cell, where this layer's output for it is rendered

PaperStateVersionLast runOutputCell
A three-dimensional immunofluorescence atlas of the …re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11artiushin-2026-spider-atlas.jsonjson
Distinct representational properties of cues and con…re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11bouyeure-2026-fear-rsa.jsonjson
Computational modelling identifies key determinants …re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11ejdrup-2026-dopamine.jsonjson
Contributions of insula and superior temporal sulcus…adjudication re-run post-stance (#96)stalev42026-09-12gadeke-2026-guilt-insula.jsonjson
Spatially targeted inhibitory rhythms differentially…re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11headley-2026-inhibitory-rhythms.jsonjson
Feedback of peripheral saccade targets to early fove…re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11kammer-2026-foveal-feedback.jsonjson
iGABASnFR2 is an improved genetically encoded protei…ran via scripts/pipeline.pystalev32026-09-13kolb-2026-igabasnfr2.jsonjson
A deep learning pipeline for mapping in situ network…re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11rozak-2026-neurovascular-dl.jsonjson
Self-association enhances early attentional selectio…re-validated against the current tree; verdicts now carry the tree fingerprintstalev22026-09-11scheller-2026-self-prioritization.jsonjson
Impaired excitability of fast-spiking neurons in a n…ran via scripts/pipeline.pystalev32026-09-13wengert-2026-kcnc1.jsonjson

Inputs and outputs

Reads, besides its dependencies
Produces
  • mappings/{paper}.json

One per paper — the table above links each one that exists.

Views
  • table — rendered above, over the 121 spans in the artifact

Running it

The command comes from the declaration, so this text and what actually runs cannot diverge. pipeline.py run also runs the unmet dependencies first.

python3 scripts/pipeline.py run <paper> adjudication

Underneath, that runs python3 scripts/adjudicate.py {paper} --answer runs/{paper}/adjudication.answer.json.