{"id":"W2304385179","doi":"10.1101/010934","title":"When is selection effective?","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canada Research Chairs","keywords":"Selection (genetic algorithm); Biology; Evolutionary biology; Similarity (geometry); Contrast (vision); Allele frequency; Allele; Genetics; Computer science; Machine learning; Artificial intelligence; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005814373,0.0003838176,0.001325022,0.001142787,0.001053274,0.003721685,0.001073858,0.001992112,0.007376215],"category_scores_gemma":[0.02028229,0.000288928,0.0005389914,0.001068696,0.005832065,0.003589782,0.001259387,0.001515029,0.0009451754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001362994,"about_ca_system_score_gemma":0.0006150546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201792,"about_ca_topic_score_gemma":0.001049537,"domain_scores_codex":[0.9965428,0.001409188,0.0002137519,0.0008692927,0.0005083905,0.0004567413],"domain_scores_gemma":[0.9894506,0.007078604,0.0009934172,0.0008267834,0.0007905838,0.0008599812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007742528,0.0002201523,0.1387614,0.002212572,0.001281745,0.002837728,0.002195609,0.009966564,0.01675952,0.5263183,0.02958043,0.2690917],"study_design_scores_gemma":[0.0001316494,0.000172482,0.09011354,0.0005473705,0.0002579812,0.001707486,0.003046293,0.00841455,0.00291347,0.8598117,0.03277321,0.0001101994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6864749,0.0403283,0.05143147,0.0858748,0.002087551,0.0001204635,0.001132677,0.000514186,0.1320356],"genre_scores_gemma":[0.9897594,0.002964748,0.001344026,0.003378394,0.0007759435,0.00002961181,0.0001036339,0.00007994504,0.001564353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007376215,"threshold_uncertainty_score":0.03074974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004998707168304931,"score_gpt":0.2111745603922439,"score_spread":0.2061758532239389,"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."}}