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'Best individual' follows the authors' Exp3 code (highest genotypic fitness); the phenotypically top-ranked individual is reported as a secondary definition. 'Needed competency' is the inversion count of the best individual's genome, the number of swaps restricted bubble sort needs to reach fitness 1.0. The drift attribution is the authors' explanation; the test reports whether its precondition (ties at phenotypic fitness 1.0 among more than 10% of the population) holds, but does not test drift directly." } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "Claim test of levin-2023-competency-07: supports, confidence 0.85" } ], "http://www.w3.org/2000/01/rdf-schema#seeAlso": [ { "@id": "https://github.com/fractastical/delphisci/blob/bf2af6ee0a84e23ffa6414ad7a0a50a8c276506e/test-data/claim-tests/levin-papers/levin-2023-competency-07/result.json" } ], "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://w3id.org/delphi/resource/agent/delphisci-claim-tester-claude-opus-5-5" } ], "https://w3id.org/delphi/ontology/admissibleDatasets": [ { "@value": "Runs of the evolvable-competency model as described in the paper (competency gene range [1, 500], initial [1, 15], 1000 generations, top-10% phenotypic selection, crossover, mutation probability 0.6), with unspecified details from the authors' public code." } ], "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": "A plateau well below 470 (< 400), at or below the needed competency, or no rise." } ], "https://w3id.org/delphi/ontology/evidenceAgainst": [ { "@value": "In every plateau generation of every run at least 10% of embryos reached phenotypic fitness 1.0, so selection picks the first 10% among ties, the precondition of the authors' drift explanation. Values between the needed level and 500 are selectively neutral here. The test does not exclude other mechanisms that would push the gene higher, for example a buffer against mutations that lower structural fitness." }, { "@value": "The best individual's competency rose from about 9 to 309 by generation 5 and 443 by generation 10, then plateaued at 484.9 (generations 801-1000; per-run means 451-498), against a mean of 354.9 swaps needed (paper: ~364). Its genotypic fitness settled at 0.53 (paper: 52%)." }, { "@value": "The plateau is somewhat above the claim's ~470 and creeps up slowly (about 450-465 over generations 50-500, 485 after 800); it is inside the pre-registered 440-500 band. The paper's figure averages 10 runs in 10-generation bins, which may explain the difference." }, { "@value": "The repository was restructured while this test ran (claim-tests/ moved to test-data/claim-tests/, books/ to claim-sources/); the pre-registered planned_datasets keep the old paths." }, { "@value": "This is a replication of a simulation, not an empirical test: it shows what follows from the stated model, not what real cellular competency does." } ], "https://w3id.org/delphi/ontology/expectedObservation": [ { "@value": "Best-individual competency climbing from <= 15 to a stable plateau near 470 within the first tens of generations, above the inversion count of its genome." } ], "https://w3id.org/delphi/ontology/failCriterion": [ { "@value": "Pre-registered: refutes if the plateau mean (generations 801-1000) is < 400, or is not above the mean needed competency, or the mean best-individual competency never reaches 300. Any other failure of R/L/N/S -> mixed. Reported but not entering the verdict: the population maximum competency, the secondary best-individual definition, and the fraction of plateau generations in which >= 10% of the population has phenotypic fitness 1.0 (the tie condition the authors invoke for drift)." } ], "https://w3id.org/delphi/ontology/hasConfidence": [ { "@value": "0.85", "@type": "http://www.w3.org/2001/XMLSchema#double" } ], "https://w3id.org/delphi/ontology/hasEvidence": [ { "@id": "https://w3id.org/delphi/resource/evidence/levin-2023-competency-07--claim-test--dataset-1" }, { "@id": "https://w3id.org/delphi/resource/evidence/levin-2023-competency-07--claim-test--dataset-2" }, { "@id": "https://w3id.org/delphi/resource/evidence/levin-2023-competency-07--claim-test--dataset-3" } ], "https://w3id.org/delphi/ontology/hasVerdict": [ { "@value": "supports" } ], "https://w3id.org/delphi/ontology/hypothesis": [ { "@value": "In a re-implementation of the Shreesha & Levin (2023) evolvable-competency experiment (competency gene in [1, 500] initialised in [1, 15], 1000 generations), the best individual's competency gene rises rapidly and plateaus around 470, above the competency needed to sort its genome." } ], "https://w3id.org/delphi/ontology/inferenceMethod": [ { "@value": "Mean over 30 repeats of the per-generation best-individual competency; plateau as the generation 801-1000 mean compared with the [440, 500] band and with the mean inversion count; rise time as first generation >= 300." } ], "https://w3id.org/delphi/ontology/passCriterion": [ { "@value": "Pre-registered design: 30 repeats x 1000 generations, 100 embryos. 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