{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007265069,0.0003198402,0.0003061178,0.001109039,0.0004006972,0.0004679477,0.0004021983,0.0003576516,0.001168055],"category_scores_gemma":[0.002037505,0.0002730232,0.0002628955,0.0005826567,0.001265081,0.0004568038,0.0009058033,0.0004874704,0.0001659709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403769,"about_ca_system_score_gemma":0.0003525629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009184551,"about_ca_topic_score_gemma":0.001097939,"domain_scores_codex":[0.9989424,0.0002747543,0.00005245654,0.0003830393,0.0002603647,0.00008692885],"domain_scores_gemma":[0.9982558,0.0006091141,0.0005016389,0.0002878198,0.000185585,0.000160005],"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":[0.0002818781,0.0001089209,0.1718568,0.0001183122,0.0002658369,0.0008055144,0.0006490462,0.003310386,0.7705054,0.009142314,0.00009437718,0.04286116],"study_design_scores_gemma":[0.00005894926,0.000362651,0.922679,0.00002170741,0.0001042631,0.002319633,0.0002244967,0.01572639,0.03882303,0.01826271,0.001320623,0.00009652748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934044,0.0001239823,0.005407802,0.00004799956,0.000002942933,0.000005938688,0.00005130831,0.00003027306,0.0009253759],"genre_scores_gemma":[0.9972923,0.00006545737,0.00223829,0.00002060857,0.000004890867,0.000007927396,0.00005897383,0.000009263461,0.0003021708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168055,"threshold_uncertainty_score":0.003920734,"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."}}