{"id":"W2063811400","doi":"10.1086/383621","title":"Parallel Evolution and Inheritance of Quantitative Traits","year":2004,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":305,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Parallel evolution; Epistasis; Evolutionary biology; Inheritance (genetic algorithm); Natural selection; Locus (genetics); Dominance (genetics); Phenotype; Selection (genetic algorithm); Trait; Concerted evolution; Rate of evolution; Genetic architecture; Genetics; Gene; Phylogenetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004064884,0.00005496274,0.00007701088,0.00001156409,0.00005459115,0.000005109707,0.00008765484,0.00002227708,0.000002252527],"category_scores_gemma":[0.00002777933,0.00004046482,0.0000262887,0.00008818804,0.0003334977,0.000002105412,0.00003140601,0.00004422931,0.00000157783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005727224,"about_ca_system_score_gemma":0.00001633178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002329926,"about_ca_topic_score_gemma":0.00008663815,"domain_scores_codex":[0.9996706,0.00002854718,0.00006679174,0.0001049184,0.0000616548,0.00006743769],"domain_scores_gemma":[0.9997454,0.000006260434,0.000093147,0.00009409872,0.00004145234,0.00001959991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001063948,0.00006131771,0.01438857,0.00004051093,0.0002108419,0.000002864462,0.002033125,0.006290613,0.9108052,0.05650245,0.003444321,0.005156219],"study_design_scores_gemma":[0.0008345754,0.0003899077,0.9723532,0.00001123458,0.00003501262,0.00002660019,0.001365615,0.00001494856,0.01292981,0.004991625,0.006835477,0.0002120268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973048,0.0007133429,0.0009494657,0.0007265857,0.0000352922,0.00005687244,0.0000203005,0.000003254635,0.0001900811],"genre_scores_gemma":[0.9961478,0.00007405975,0.003339916,0.000305237,0.00002726699,9.53783e-7,0.00001409881,0.00000315724,0.00008747679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9579646,"threshold_uncertainty_score":0.1650108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207553122601322,"score_gpt":0.2592202173540634,"score_spread":0.2471446861280502,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}