{"id":"W2952559970","doi":"10.1534/genetics.115.184630","title":"When Is Selection Effective?","year":2016,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University and Génome Québec Innovation Centre","funders":"","keywords":"Biology; Selection (genetic algorithm); Evolutionary biology; Allele frequency; Allele; Similarity (geometry); Genetics; Computer science; Gene; Machine learning; Artificial intelligence","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":[0.00007514912,0.0001112608,0.00007080752,0.00002837159,0.0000532234,0.00001036379,0.0001126742,0.0001284276,0.000125118],"category_scores_gemma":[0.00002974417,0.00008554431,0.00005987434,0.00004783327,0.00005633751,0.000001165849,0.00006528451,0.00003066616,0.0001187864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001799308,"about_ca_system_score_gemma":0.00003487768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002185877,"about_ca_topic_score_gemma":0.00004523713,"domain_scores_codex":[0.9992796,0.00003976046,0.0001140065,0.0002682157,0.00009859767,0.0001998742],"domain_scores_gemma":[0.9995641,0.000007307352,0.00003833324,0.0002339479,0.00008333343,0.00007295194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002628031,0.00003070961,0.01553328,0.000005860856,0.00003938142,3.329558e-7,0.0000398046,0.00003425311,0.8910263,0.0001082457,0.04290046,0.05025507],"study_design_scores_gemma":[0.0008200168,0.0004383934,0.02400657,0.000009367202,0.00002157486,0.00002473584,0.00001011158,0.0004360092,0.4466764,0.002753789,0.5245124,0.0002905737],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8876444,0.0006288805,0.1090086,0.0006777194,0.00020115,0.0002351282,0.00002456406,0.00002826132,0.001551317],"genre_scores_gemma":[0.9885415,0.0002771829,0.00476596,0.0008445163,0.0002990499,0.00002460015,0.00001411429,0.00002456317,0.005208499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.481612,"threshold_uncertainty_score":0.3488396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003821320408846218,"score_gpt":0.227289025231727,"score_spread":0.2234677048228808,"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."}}