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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": [ { "@value": "Claim test of levin-2022-grn-learning-06: refutes, confidence 0.55" } ], "http://www.w3.org/2000/01/rdf-schema#seeAlso": [ { "@id": "https://github.com/fractastical/delphisci/blob/bf2af6ee0a84e23ffa6414ad7a0a50a8c276506e/test-data/claim-tests/levin-papers/levin-2022-grn-learning-06/result.json" } ], "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://w3id.org/delphi/resource/agent/delphisci-claim-tester-grok-4-7" } ], "https://w3id.org/delphi/ontology/admissibleDatasets": [ { "@value": "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": [ { "@value": "claim-test/0.1.0" } ], "https://w3id.org/delphi/ontology/dataKind": [ { "@value": "computational" } ], "https://w3id.org/delphi/ontology/disconfirmingObservation": [ { "@value": "At least one of those four correlations has two-sided p < 0.05." } ], "https://w3id.org/delphi/ontology/evidenceAgainst": [ { "@value": "Edges (p 0.080) and mean degree (p 0.503) are not significant at 0.05." }, { "@value": "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." }, { "@value": "Memory amount correlates with node count (Spearman rho 0.399, two-sided p 0.0176) and with hubness (rho 0.346, p 0.0420). 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