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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
http://purl.org/dc/terms/description
Sensitization uses the authors' rule on NewDrugResSensitBreak.mat: at least two nonzero stimulus codes, all equal. The biological fraction is the number of models with at least one such pair, divided by 35. The percentage matches column 2 of their deposited percentage matrix. No random-circuit scores are deposited and none were generated. The pre-registered refute rule requires at least 20 random models, so a biological fraction alone does not close the verdict.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--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-17--claim-test
http://www.w3.org/2000/01/rdf-schema#comment
Measured: 0.6571428571428571 fraction of 35 models with at least one sensitizing pair (n = 35). Interpretation: Sensitization here is an ODE simulation outcome, not a measured cellular sensitization. data_kind will be computational.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
http://www.w3.org/2000/01/rdf-schema#label
Claim test of levin-2022-grn-learning-17: inconclusive, confidence 0.4
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
http://www.w3.org/2000/01/rdf-schema#seeAlso
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/admissibleDatasets
The published ODE models fetched by BioModels id, and random circuits matched in size and scored with the same sensitization rule. A typed copy of the paper's 27 of 35 is not admissible.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/assessmentType
claim-test/0.1.0
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
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computational
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/disconfirmingObservation
The biological fraction is below 27/35, or the median random pairing fraction is 10% or higher.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
23 of 35 models have at least one sensitizing pair. That fraction, 0.657, is below the pre-registered biological bar of 27/35.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
The ODEs were not re-integrated.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/evidenceAgainst
Zero random circuits were scored. The pre-registered rule refutes only when at least 20 random models were tested, so the verdict is inconclusive rather than a refutation.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/expectedObservation
At least 27/35 of the biological models have a sensitizing stimulus-response pair, and the median random model has sensitizing pairs in under 10% of pairings.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/failCriterion
Refutes if the biological fraction is < 27/35, or if the random median pair-fraction is >= 0.10, provided at least 10 biological models and at least 20 random models were tested. Mixed is not used for a miss of either bar: either miss refutes the conjunction. Inconclusive with reason underpowered if fewer than 10 biological models or fewer than 20 random models are tested. Inconclusive with reason data-unavailable if the biological models cannot be fetched.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/hasConfidence
0.4
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/hasVerdict
inconclusive
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/hypothesis
Sensitization, a progressive 1.5-fold increase in response, occurs in at least 27 of 35 biological pathway models and in under 10% of stimulus-response pairings in random models.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/inferenceMethod
Score each stimulus-response pair for a progressive 1.5-fold increase. Biological model fraction against 27/35. Median over random models of the pair fraction against 0.10. Both are required for supports.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/passCriterion
Pre-registered before any model file or simulation output is downloaded. The pass bars are the fractions stated in the claim. Sensitization of a pair is a progressive increase of response amplitude to at least 1.5 times the first response across repeated stimulations. A biological model counts as sensitizing if at least one stimulus-response pair sensitizes. Supports only if (biological models that sensitize) / (biological models tested) >= 27/35 and, across random models, the median of (sensitizing pairs / pairs tested) is < 0.10. The authors' GRN_ODE sensitization rule replaces the 1.5-fold rule only if that code draws the label; the fractions do not change.
https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/ontology/preregistered
false
https://w3id.org/delphi/resource/claim/levin-2022-grn-learning-17
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https://w3id.org/delphi/resource/assessment/levin-2022-grn-learning-17--claim-test
https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-17--claim-test--dataset-1
http://purl.org/dc/terms/description
authors' MATLAB sources and deposited simulation-count matrices; the ODE right-hand sides are not in this repository
https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-17--claim-test--dataset-1
http://purl.org/dc/terms/license
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http://www.w3.org/2000/01/rdf-schema#label
Dataset: GRN_ODE, code and deposited outputs for Biswas, Clawson and Levin 2022
https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-17--claim-test--dataset-1
http://www.w3.org/ns/prov#atLocation
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BioModels ids in table order; each id was then resolved on the BioModels search API
https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-17--claim-test--dataset-2
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http://www.w3.org/2000/01/rdf-schema#label
Dataset: Table S1, list of 35 BioModels ODE networks
https://w3id.org/delphi/resource/evidence/levin-2022-grn-learning-17--claim-test--dataset-2
http://www.w3.org/ns/prov#atLocation
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Claim test of levin-2022-grn-learning-17: inconclusive, confidence 0.4
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