@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 "The repository contains MEMORY_EVALUATOR_ODE_SLURM1_Noise.m and no output matrix of that noise assay. The ODE right-hand sides are absent, so the noise comparison was not re-run."; "Measured: null null. Interpretation: Noise here is noise added inside the ODE simulations. The result does not show that biological noise helps memory in cells. data_kind will be computational."; "Claim test of levin-2022-grn-learning-10: inconclusive, confidence 0.35"; ; prov:wasAttributedTo ; "The same published ODE models used for the noiseless memory assay, re-integrated with a stated stochastic perturbation. A typed copy of the paper's 83% and 20% is not admissible."; "claim-test/0.1.0"; "none"; "Fewer than 83% of those models keep a memory, or mean memory amount falls when noise is added."; "The noise script is present and its output matrix is not. Intact-fraction and the 20% increase were not measured."; "At least 83% of models that had a memory without noise still have one with noise, and mean memory amount rises by a relative factor between 10% and 30%."; "Refutes if the intact fraction is < 0.83, or if the relative increase is negative. Mixed if the intact fraction is >= 0.83 but the relative increase is outside [0.10, 0.30] while still non-negative. Inconclusive with reason underpowered if fewer than 10 models have memory without noise. Inconclusive with reason data-unavailable if the models cannot be fetched."; "0.35"^^xsd:double; , ; "inconclusive"; "Stochastic noise leaves memories intact in at least 83% of the pathway models that had memory, and increases memory amount overall by about 20%."; "Paired comparison of memory labels and memory amount with and without noise. Intact fraction against 0.83; relative change of the mean against the interval [0.10, 0.30]. Both bars 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. Intact: among models that have at least one memory kind without noise, the fraction that still have at least one memory kind when stochastic noise is added is >= 0.83. Increase: (mean memory amount with noise minus mean memory amount without noise) divided by mean memory amount without noise, over those models, is about 20%, fixed here as the closed interval from 0.10 to 0.30. Memory amount and memory kinds are those in the levin-2022-grn-learning-01 preregistration. Noise is the stochastic term in the authors' GRN_ODE noise assay if that code runs; otherwise independent multiplicative log-normal noise on production rates with sigma fixed in the analysis script before any noisy trajectory is scored. Supports only if both the intact bar and the increase interval hold."; "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 "2026-11-08T16:24:31.875Z"^^xsd:dateTime; dc:creator ; dc:license ; npx:hasNanopubType ; npx:introduces ; "Claim test of levin-2022-grn-learning-10: inconclusive, confidence 0.35"; . sub:sig npx:hasAlgorithm "RSA"; npx:hasPublicKey "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAyFHtPB6p0mCjDozxlOY9CmO3nBm7Te3jFbXyLmM+G1tGe47Da0jYIbhkl9Oo1ZjxmCa3LCwlEqK8gj6hEIcL4ahW30JXh9HycfKVk1bugkzMEV15tJdTzAU3sGMFnbNsn43xY2LFLy45tApkRm5byEiM7oRRrooIdwoQKnP4Wzq/bfAoJ9qvW+MGkelyOTd1jbSt+KfmT7xKmDfWzAHddUlWwMX2QJOLxDaffOteTop6ZRgPiNmPJKA/S62Gac9XtSYT3oDkZ6/nr5cxxNLpOyxTf5FPISiCe11xYO/unYjY+mwnOfA8yhJIyx1l0O9I0vpOpn+E5TvyHJV+oSTrvwIDAQAB"; npx:hasSignature "U5gdxOncYzWJjObhpQ00RUxo/XI0mIJlSFJrjUUzXJkTdNyo7sfz32kRUALD+k1+YtiV84lbS9jgxwS9hKlINrUMHpU0WjC9i6/d3zQ3yA17izOv3AP/fK+7fuGn0pQKr3Z7AT5o7MgSal1QCeZf/18kjYAYKAKXUu5ue6+4hOCF3GiAwKomYu6RmkmJ15mgcn70HZ27yPrUg/UXpm7DGt9wahXHYX90xnPTvdc/XzSonI/Qu0fzJjiUhievMuOjmOqKI1SvwnMNgB4a8QPkETD9duY3NPinCuibkLHYt9mtiw2XbIuwPA7NcM8/fTuUuLmwgAi0UJcYlYNvf3mqag=="; npx:hasSignatureTarget this:; npx:signedBy . }