@prefix this: . @prefix sub: . @prefix np: . @prefix rdf: . @prefix prov: . @prefix npx: . @prefix dc: . @prefix xsd: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a ; dc:description "Sensitization uses the authors' rule on NewDrugResSensitBreak.mat: at least two nonzero stimulus codes, all equal. The biological fraction is the number of models with at least one such pair, divided by 35. The percentage matches column 2 of their deposited percentage matrix. No random-circuit scores are deposited and none were generated. The pre-registered refute rule requires at least 20 random models, so a biological fraction alone does not close the verdict."; "Measured: 0.6571428571428571 fraction of 35 models with at least one sensitizing pair (n = 35). Interpretation: Sensitization here is an ODE simulation outcome, not a measured cellular sensitization. data_kind will be computational."; "Claim test of levin-2022-grn-learning-17: inconclusive, confidence 0.4"; ; prov:wasAttributedTo ; "The published ODE models fetched by BioModels id, and random circuits matched in size and scored with the same sensitization rule. A typed copy of the paper's 27 of 35 is not admissible."; "claim-test/0.1.0"; "computational"; "The biological fraction is below 27/35, or the median random pairing fraction is 10% or higher."; "23 of 35 models have at least one sensitizing pair. That fraction, 0.657, is below the pre-registered biological bar of 27/35.", "The ODEs were not re-integrated.", "Zero random circuits were scored. The pre-registered rule refutes only when at least 20 random models were tested, so the verdict is inconclusive rather than a refutation."; "At least 27/35 of the biological models have a sensitizing stimulus-response pair, and the median random model has sensitizing pairs in under 10% of pairings."; "Refutes if the biological fraction is < 27/35, or if the random median pair-fraction is >= 0.10, provided at least 10 biological models and at least 20 random models were tested. Mixed is not used for a miss of either bar: either miss refutes the conjunction. Inconclusive with reason underpowered if fewer than 10 biological models or fewer than 20 random models are tested. Inconclusive with reason data-unavailable if the biological models cannot be fetched."; "0.4"^^xsd:double; , ; "inconclusive"; "Sensitization, a progressive 1.5-fold increase in response, occurs in at least 27 of 35 biological pathway models and in under 10% of stimulus-response pairings in random models."; "Score each stimulus-response pair for a progressive 1.5-fold increase. Biological model fraction against 27/35. Median over random models of the pair fraction against 0.10. Both are required for supports."; "Pre-registered before any model file or simulation output is downloaded. The pass bars are the fractions stated in the claim. Sensitization of a pair is a progressive increase of response amplitude to at least 1.5 times the first response across repeated stimulations. A biological model counts as sensitizing if at least one stimulus-response pair sensitizes. Supports only if (biological models that sensitize) / (biological models tested) >= 27/35 and, across random models, the median of (sensitizing pairs / pairs tested) is < 0.10. The authors' GRN_ODE sensitization rule replaces the 1.5-fold rule only if that code draws the label; the fractions do not change."; "false"^^xsd:boolean . . a ; dc:description "authors' MATLAB sources and deposited simulation-count matrices; the ODE right-hand sides are not in this repository"; dc:license ""; "Dataset: GRN_ODE, code and deposited outputs for Biswas, Clawson and Levin 2022"; prov:atLocation , , , , , , ; prov:wasDerivedFrom ; "sha256:0f4a71d2fca4c41c1dd91bcb7d1c3107fe754e2d596d8d2c4f4dfa26d402c771", "sha256:384a9740876e19d927593cb75af4b2632691616951f166840d01bc3bb16978db", "sha256:3ae6e7ccb729050f22c4f9f1b8feb587c2e05ab14166506392ab8e331e647574", "sha256:6768dd71632e319eded55cbab072eb79bc1af4510ef489e46be168e4828ac71e", "sha256:9b04ac49abb7ca558728f00f5048237688bf1a4acfd54b29b8c05659124bdffc", "sha256:b954fbb03601a7a4af543bb9c5d905a2b2c24a67995ee5e2f399ea1b8c7baa5e", "sha256:fb03c13849dccbc62a92dd9df087cd06075183e8a79dc391359cf0d6c7d98d6f" . a ; dc:description "BioModels ids in table order; each id was then resolved on the BioModels search API"; dc:license "cc by"; "Dataset: Table S1, list of 35 BioModels ODE networks"; prov:atLocation ; prov:wasDerivedFrom ; "sha256:1ae204459a539a8d52bbde46352c6e7fcbc7b28ae6833dcaa584585c35c7571c" . } sub:provenance { a prov:SoftwareAgent; "delphisci claim tester (grok-4.7; cursor/levin-xenobot-pathway-memory-254b)"; prov:actedOnBehalfOf ; . a ; dc:identifier "grok-4.7" . sub:assertion prov:wasAttributedTo ; prov:wasDerivedFrom ; prov:wasGeneratedBy sub:test . sub:plan prov:hadPlan . sub:test a prov:Activity; prov:qualifiedAssociation sub:plan; prov:wasAssociatedWith . } sub:pubinfo { this: dc:created "2026-11-08T16:24:31.876Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:hasNanopubType ; npx:introduces ; "Claim test of levin-2022-grn-learning-17: inconclusive, confidence 0.4"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAyFHtPB6p0mCjDozxlOY9CmO3nBm7Te3jFbXyLmM+G1tGe47Da0jYIbhkl9Oo1ZjxmCa3LCwlEqK8gj6hEIcL4ahW30JXh9HycfKVk1bugkzMEV15tJdTzAU3sGMFnbNsn43xY2LFLy45tApkRm5byEiM7oRRrooIdwoQKnP4Wzq/bfAoJ9qvW+MGkelyOTd1jbSt+KfmT7xKmDfWzAHddUlWwMX2QJOLxDaffOteTop6ZRgPiNmPJKA/S62Gac9XtSYT3oDkZ6/nr5cxxNLpOyxTf5FPISiCe11xYO/unYjY+mwnOfA8yhJIyx1l0O9I0vpOpn+E5TvyHJV+oSTrvwIDAQAB"; npx:hasSignature "I/jLL99BQ6qxg0fQVAzdd3vgC2Gc7Sva7soobt4nTBfcpR9XHY1/5El3vbMfT2cb3zga7Ovy7YpK/55WlrcnnOaf+tkzgtGQH1J/mxeWC9vfTB7k9akD3KrFJv5AIPn3FM4Orl6G8A2KmNcYhqfRyWsXmbLSrxAnnQK5Rtf9Mzaz6JvO9jckaLdPfFGaTw6MiTRLhQlZgmsj6/wGZVKib1s6T0oW5slu/XsmR5wYtJ2LyIVG44kKXXJFyxL/H+UTMk+FeicJUv2JFv+MikzZfEOZfsZQq0U0vZw4QTNIG4VdGRqE/7DA4IiCZhgffmxHQfkVkJeEg8/Nopbc7k4mtQ=="; npx:hasSignatureTarget this:; npx:signedBy . }