https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM/Head https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM/assertion https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM/provenance https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM/pubinfo https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAIwBeoqSi8bsbGNjmIHNavoeDhhIEmjYcfLZ6GI5tGWM/assertion https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test http://purl.org/dc/terms/description The fetched repository was searched for a deposited result of training two associative memories serially. No such matrix is present. Biomodels/ModelN/f.m is absent, so the serial assay was not re-run. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--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-12--claim-test http://www.w3.org/2000/01/rdf-schema#comment Measured: null null. Interpretation: Catastrophic forgetting and dual UCS storage are outcomes of the ODE simulations. They do not show that cells forget associations. data_kind will be computational. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test http://www.w3.org/2000/01/rdf-schema#label Claim test of levin-2022-grn-learning-12: inconclusive, confidence 0.35 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--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-12/result.json https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--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-12--claim-test https://w3id.org/delphi/ontology/admissibleDatasets The published ODE pathway models named by the authors' repository or a BioModels fetch, plus random circuits matched to those models in node count. The forgetting denominator is only models that formed each association alone. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/assessmentType claim-test/0.1.0 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/dataKind none https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/disconfirmingObservation At least one biological model keeps one or both associative memories after serial training, or no biological model keeps two UCS memories. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/evidenceAgainst An independent reimplementation was not run, because the model equations the authors integrated are not in the deposit. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/evidenceAgainst No serial associative-memory output is in the authors' repository, so catastrophic forgetting and dual UCS storage were not measured. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/expectedObservation Every biological model and every random model that can form each of two associative memories alone loses both after serial training, and at least one biological model keeps two UCS memories. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/failCriterion Refutes if |A_bio| >= 1 and |F_bio|/|A_bio| < 1, or if no biological model stores two UCS memories. Mixed if biological serial associative memories are all lost but the random models are not all lost, or if both biological and random associative memories are all lost but no biological model stores two UCS memories. Inconclusive with reason not-operationalizable if no model forms an associative memory alone, so forgetting cannot be scored. Inconclusive with reason data-unavailable if the models cannot be fetched. If random circuits are not integrated, the random conjunct is untested and the verdict cannot be supports. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/hasConfidence 0.35 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/hasEvidence https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-12--claim-test--dataset-1 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/hasEvidence https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-12--claim-test--dataset-2 https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/hasVerdict inconclusive https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/hypothesis Two associative memories trained one after another are both lost in every biological and every random pathway model that could form them alone, while two UCS memories can be stored together. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--claim-test https://w3id.org/delphi/ontology/inferenceMethod Train each associative pair alone, then train them serially and retest each neutral stimulus. Both-lost fraction must equal 1 in biological models and in random models. Separately train two UCS pairs serially or in parallel and require both readouts still displaced. Supports only when every one of those statements holds. https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-12--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 stated by the claim: all, that is 1, of the models in which each associative memory can be formed alone. Let A_bio be biological models in which two distinct associative memories each form when trained alone, and F_bio the subset in which serial training (association 1, then association 2) leaves both memories lost. Define A_rand and F_rand the same way for size-matched random circuits. Two UCS memories are stored when, after serial or parallel training of two stimulus-response pairs, both readouts remain displaced in the trained direction. Supports only if |A_bio| >= 1 and |F_bio|/|A_bio| = 1 and |A_rand| >= 1 and |F_rand|/|A_rand| = 1 and at least one biological model stores two UCS memories. 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