@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 "A model has memory when any of memory types 1 through 7 in ODE_New.mat is positive. Node count is Bin_numSp. The pre-registered bar, for 35 integrated models, is exactly four models without memory and at least three of those four with fewer than four nodes. The ODEs were not re-integrated."; "Measured: 4 models with no memory type from 1 through 7, out of 35 (n = 35). Interpretation: Presence of memory is a property of the ODE simulations. It does not show that small biochemical networks in cells lack memory. data_kind will be computational."; "Claim test of levin-2022-grn-learning-05: supports, confidence 0.55"; ; prov:wasAttributedTo ; "The published ODE models named by the authors' repository or a BioModels fetch, with node counts taken from the fetched model rather than from the paper's table."; "claim-test/0.1.0"; "computational"; "No model lacks memory, or more than seven of 35 lack memory, or none of the memory-less models is among the models with fewer than four nodes."; "Exactly four models have no memory type from 1 through 7. Three of them have fewer than four nodes: BIOMD0000000003 (3), BIOMD0000000024 (2) and BIOMD0000000036 (2). BIOMD0000000483 has 8 nodes and is the fourth.", "The ODEs were not re-integrated. Node counts are the authors' Bin_numSp, aligned to Table S1 by order."; "Exactly four of 35 integrated models have no memory kind, and at least three of those four have fewer than four nodes."; "Refutes if 35 models integrate and the number without memory is 0 or greater than 7, or if at least 4 models have fewer than 4 nodes and none of the memory-less models is among them. Mixed if models integrate but the exception count or the size pattern misses the pass bar without meeting the refute bar. Inconclusive with reason underpowered if fewer than 30 models integrate. Inconclusive with reason data-unavailable if the models cannot be fetched."; "0.55"^^xsd:double; , ; "supports"; "Memory is absent in four of the 35 pathway models, and at least three of those four have fewer than four nodes."; "Count models with no positive memory kind. Compare that count to 4 (or round(4*n/35) if n is not 35). Among the exceptions, count how many have fewer than 4 nodes and compare to 3."; "Pre-registered before any model file or simulation output is downloaded. The pass bar is the count stated in the claim: memory absent in 4 models out of 35, with at least 3 of those 4 having fewer than 4 nodes. A model has memory if it shows at least one of the five kinds defined in the levin-2022-grn-learning-01 preregistration. Node count is the number of state variables simulated. Supports, when 35 models integrate, if the number without memory is exactly 4 and at least 3 of them have fewer than 4 nodes. If a different number n >= 30 integrate, supports if the number without memory equals round(4*n/35) and at least 3 of the memory-less models have fewer than 4 nodes."; "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 "2026-11-08T16:24:31.873Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:hasNanopubType ; npx:introduces ; "Claim test of levin-2022-grn-learning-05: supports, confidence 0.55"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAyFHtPB6p0mCjDozxlOY9CmO3nBm7Te3jFbXyLmM+G1tGe47Da0jYIbhkl9Oo1ZjxmCa3LCwlEqK8gj6hEIcL4ahW30JXh9HycfKVk1bugkzMEV15tJdTzAU3sGMFnbNsn43xY2LFLy45tApkRm5byEiM7oRRrooIdwoQKnP4Wzq/bfAoJ9qvW+MGkelyOTd1jbSt+KfmT7xKmDfWzAHddUlWwMX2QJOLxDaffOteTop6ZRgPiNmPJKA/S62Gac9XtSYT3oDkZ6/nr5cxxNLpOyxTf5FPISiCe11xYO/unYjY+mwnOfA8yhJIyx1l0O9I0vpOpn+E5TvyHJV+oSTrvwIDAQAB"; npx:hasSignature "CjENs7H4miLDshfez8TMQptMGolSKVa6K4vKlNKFrtOyaBPYFsl8bo7B5xde+l3pFhnYunFLL73w9ZFrtgwaH8opMq7HcgtthqoWo4u2oclXrF1hdwiTsHohP7GBGk1pZuFkbcjAguDcR5CZ4ky94Ei34MZ59UKXw76bmfXPxkZP1wlndp6RZ48fhZfsJBMmtWQ0m7dPTjc+34n3CCWuBvsncry2LFUBeZi4GAWzprKIumMsQKh52DpvH2wad880fuE+EHs5NtazLeYV9Fex6PZ0VEDpnqZc57IIgRscfPbEUIztJwBSZpTXWsO71AFS/QCMMq+8KMANogU4/RROHw=="; npx:hasSignatureTarget this:; npx:signedBy . }