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Habituation uses the authors' drug-resistance rule on NewDrugResSensitBreak.mat: across the six stimulus codes, the first nonzero code differs from the last, and there are at least two nonzero codes. The resulting percentage matches column 0 of Bin_DrugResSensitBreakPrcnt in the same file. Abolition is a nonempty Bin_Break_DrugRes record. Their script appends a row only when a third-node stimulus succeeds. The pre-registered bar is B/H >= 17/27. The ODE right-hand sides were not re-integrated.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
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Measured: 0.92 fraction of habituating models in which a third node abolished habituation (n = 25). Interpretation: Pharmacoresistance here is the habituation assay in the ODE models, not a clinical drug measurement. The result is computational: it shows the programs behave as claimed, not that cells lose drug tolerance when a third node is stimulated.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
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The authors' released pathway-memory simulator and the published ODE models it names, fetched by BioModels id from that repository or from the BioModels API. The denominator is habituating models from that set, not an unrelated network sample.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
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That fraction is below 17/27 in a set of at least 10 habituating models.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
23 of 25 habituating models have at least one successful third-node break. That fraction is 0.92, above the pre-registered bar of 17/27.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
The ODE right-hand sides were not re-integrated. The result shows what the deposited break table contains.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/expectedObservation
Among models that habituate, the fraction in which some third-node stimulus abolishes habituation for some stimulus-response pair is at least 17/27.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/failCriterion
Refutes if H >= 10 and B/H < 17/27. Inconclusive with reason underpowered if H < 10. Inconclusive with reason data-unavailable if the models cannot be fetched. Mixed is not used: the claim is a single fraction in a fixed direction.
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In the habituating BioModels pathway models, stimulating a third node abolishes habituation for some stimulus-response pairs in at least 17 of 27 models.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
https://w3id.org/delphi/ontology/passCriterion
Pre-registered before any model file or simulation output is downloaded. The pass bar is the fraction 17/27, direction fixed: a third node abolishes habituation rather than creating it. Habituation is a progressive drop of response amplitude to 50% or less of the first response across repeated, lengthening stimulations, as stated for this paper's pharmacoresistance assay. Abolition: there exists a third node, neither the stimulus nor the response, such that with that node stimulated the pair no longer meets the 50% drop. Let H be the number of successfully integrated models that habituate for at least one pair, and B the number of those in which abolition occurs for at least one pair. Supports if H >= 1 and B/H >= 17/27. The authors' GRN_ODE definitions replace the 50% rule only if that code draws the habituation label; the fraction bar does not change. If the code's habituation rule differs, the method names the rule actually applied and the verdict still uses 17/27.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-16--claim-test
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