https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c/Head https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c/assertion https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c/provenance https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c/pubinfo https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RA0n3b85UU6JsK3ZXlxaWyRK7TEL9Yi2Ei5YFGgpNcl_c/assertion https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://purl.org/dc/terms/description The repository contains no deposited memory scores for size-matched random circuits, and the ODE right-hand sides needed to generate those circuits are absent, so the comparison with 500 random circuits was not run. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/delphi/ontology/Assessment https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://www.w3.org/2000/01/rdf-schema#comment Measured: null null. Interpretation: The comparison is between two families of ODE simulations. Higher prevalence in the biological models does not show that evolved cells are more trainable than random chemistry, only that these published models, under this assay, score higher than the matched random circuits. data_kind will be computational. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://www.w3.org/2000/01/rdf-schema#label Claim test of levin-2022-grn-learning-02: inconclusive, confidence 0.35 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://www.w3.org/2000/01/rdf-schema#seeAlso https://github.com/fractastical/delphisci/blob/bf2af6ee0a84e23ffa6414ad7a0a50a8c276506e/test-data/claim-tests/levin-papers/levin-2022-grn-learning-02/result.json https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test http://www.w3.org/ns/prov#wasAttributedTo https://w3id.org/delphi/resource/agent/delphisci-claim-tester-grok-4-7 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/admissibleDatasets Published ODE pathway models fetched by BioModels id, and random circuits generated from those models' sizes rather than taken from the paper's summary table. The authors' random-circuit generator is preferred when it runs. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/assessmentType claim-test/0.1.0 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/dataKind none https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/disconfirmingObservation With at least 100 random circuits, the biological mean is not greater, or the one-sided p-value is at least 0.05. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/evidenceAgainst Random-circuit memory scores are not in the deposit, so the biological-versus-random comparison was not measured. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/expectedObservation Mean memory amount of the biological models is greater than that of size-matched random circuits, at one-sided p < 0.05, with at least 100 random circuits integrated. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/failCriterion Refutes if at least 100 random circuits integrate and (biological mean memory amount is less than or equal to the random mean, or the one-sided Mann-Whitney p is >= 0.05). Inconclusive with reason underpowered if fewer than 100 random circuits integrate. Inconclusive with reason data-unavailable if the biological models cannot be fetched. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/hasConfidence 0.35 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/hasEvidence https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-02--claim-test--dataset-1 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/hasEvidence https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-02--claim-test--dataset-2 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/hasVerdict inconclusive https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/hypothesis Biological ODE pathway models show higher memory prevalence than size-matched random circuits. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/inferenceMethod One-sided Mann-Whitney U on per-model memory amount, biological versus random, alpha 0.05. Means are reported. The pre-registered direction is biological greater than random. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-02--claim-test https://w3id.org/delphi/ontology/passCriterion Pre-registered before any model file or simulation output is downloaded. The claim names 500 random circuits and a direction: biological prevalence higher than random. Memory prevalence of a model is its memory amount from the levin-2022-grn-learning-01 preregistration (fraction of tested stimulus-response pairs with at least one memory kind). Random circuits are matched to biological models on node count, with edge count matched as closely as the generator allows. The target is 500 integrated random circuits. Supports if at least 100 random circuits integrate, the mean biological memory amount is strictly greater than the mean random memory amount, and a one-sided Mann-Whitney U test (alternative: biological > random) has p < 0.05. A shortfall below 500 is recorded as a deviation and does not by itself refute. 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