{"id":"W2254486089","doi":"10.1111/mec.13559","title":"The genetic consequences of selection in natural populations","year":2016,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Smithsonian Tropical Research Institute; Canada Research Chairs; McGill University","keywords":"Selection (genetic algorithm); Biology; Natural selection; Evolutionary biology; Population; Statistics; Machine learning; Computer science; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001664583,0.0002055032,0.0004341705,0.0001003748,0.00007034493,0.000008844637,0.0002855884,0.0003646029,0.00001544179],"category_scores_gemma":[0.0001667002,0.0001378771,0.0002295583,0.0001707961,0.0002858747,9.541606e-7,0.00009535532,0.0001459626,0.00001399886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004835869,"about_ca_system_score_gemma":0.0003519188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001236219,"about_ca_topic_score_gemma":0.0009266895,"domain_scores_codex":[0.9984758,0.0003559565,0.0004992517,0.000320077,0.00008370128,0.00026517],"domain_scores_gemma":[0.999334,0.00003955337,0.0002718598,0.000247738,0.00007305438,0.00003382464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000367754,0.0001255655,0.001711864,0.001342674,0.0004504172,0.00002910363,0.0000140323,0.0003039872,0.01496248,0.008035824,0.001190598,0.9717967],"study_design_scores_gemma":[0.0002540126,0.0001860373,0.001557268,0.0003459539,0.0001181776,0.0001536213,0.000005379635,0.00005610978,0.0002116295,0.0009247407,0.995876,0.0003110889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001593926,0.9966106,0.0007844713,0.00007054505,0.000330759,0.0004002764,0.00001707567,0.000005579318,0.0001867203],"genre_scores_gemma":[0.01097902,0.9876556,0.0005051963,0.00004257156,0.00005299481,0.00008973953,0.00008443412,0.00002645015,0.0005639672],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9946854,"threshold_uncertainty_score":0.5622465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362014449924397,"score_gpt":0.3089495975112471,"score_spread":0.2953294530120031,"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."}}