https://w3id.org/np/RAg6bTElf6hzseDvDG8qcgvJOt-Om1WurPi6PEFfh7l0g
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<https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-06--claim-test>
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dc:description "Memory amount is the fraction of counted assignments in ODE_New.mat that fall in one of the five named kinds. Node count is Bin_numSp. Edges are half the sum of the deposited degree vector, mean degree is its mean, and hubness is its maximum divided by its mean, as pre-registered. Each is compared with memory amount by a two-sided Spearman correlation at alpha 0.05 with no multiple-comparison correction. The ODEs were not re-integrated.";
<http://www.w3.org/2000/01/rdf-schema#comment> "Measured: 0.017569332117588564 two-sided Spearman p for memory amount versus node count; all four tests are in extra (n = 35). Interpretation: The correlations are between simulation-derived memory scores and topology of the ODE models. They do not show that cellular memory is independent of network size. data_kind will be computational.";
<http://www.w3.org/2000/01/rdf-schema#label> "Claim test of levin-2022-grn-learning-06: refutes, confidence 0.55";
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prov:wasAttributedTo <https://w3id.org/delphi/resource/agent/delphisci-claim-tester-grok-4-7>;
<https://w3id.org/delphi/ontology/admissibleDatasets> "The published ODE pathway models used for the memory assay, with topology counted from the same fetched model files that are simulated. A hand-typed table of the paper's correlations is not admissible.";
<https://w3id.org/delphi/ontology/assessmentType> "claim-test/0.1.0";
<https://w3id.org/delphi/ontology/dataKind> "computational";
<https://w3id.org/delphi/ontology/disconfirmingObservation> "At least one of those four correlations has two-sided p < 0.05.";
<https://w3id.org/delphi/ontology/evidenceAgainst> "Edges (p 0.080) and mean degree (p 0.503) are not significant at 0.05.",
"Hubness here is maximum degree over mean degree. Two models have a degree vector one shorter than their node count (BIOMD0000000209, BIOMD0000000210). The node-count correlation does not use that vector.",
"Memory amount correlates with node count (Spearman rho 0.399, two-sided p 0.0176) and with hubness (rho 0.346, p 0.0420). Either one fails the pre-registered rule that every correlation be non-significant.",
"The ODEs were not re-integrated. Memory amount is a fraction of the deposited assignment counts.";
<https://w3id.org/delphi/ontology/expectedObservation> "Spearman correlations of memory amount with node count, edge count, mean degree and hubness are all non-significant at two-sided p >= 0.05.";
<https://w3id.org/delphi/ontology/failCriterion> "Refutes if any of the four Spearman p-values is < 0.05. Inconclusive with reason underpowered if fewer than 15 models have a finite memory amount and finite topology measures. Inconclusive with reason data-unavailable if the models cannot be fetched. Mixed is not used.";
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<https://w3id.org/delphi/ontology/hasEvidence> <https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-06--claim-test--dataset-1>,
<https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-06--claim-test--dataset-2>;
<https://w3id.org/delphi/ontology/hasVerdict> "refutes";
<https://w3id.org/delphi/ontology/hypothesis> "Across the surveyed BioModels pathway models, memory amount is not significantly correlated with node count, edge count, degree or hubness.";
<https://w3id.org/delphi/ontology/inferenceMethod> "Spearman rank correlation, two-sided, alpha 0.05, uncorrected, one test per measure. Supports only if every test is non-significant. n and each rho and p are reported from the script.";
<https://w3id.org/delphi/ontology/passCriterion> "Pre-registered before any model file or simulation output is downloaded. Memory amount is the fraction of tested stimulus-response pairs that show at least one of the five memory kinds defined in the levin-2022-grn-learning-01 preregistration. Degree is mean node degree. Hubness is maximum degree divided by mean degree, unless the authors' GRN_ODE code defines hubness, in which case that definition is used and named. Edges are the regulatory edges in the fetched model. The test is a two-sided Spearman rank correlation of memory amount with each of the four measures, alpha = 0.05, no multiple-comparison correction (the claim says no significant correlation with any of them, at the ordinary per-test bar). Supports if all four p-values are >= 0.05.";
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dc:license "";
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dc:license "cc by";
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