{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00614616,0.0003981656,0.001342609,0.001102739,0.001116278,0.004057615,0.001094239,0.00257465,0.004929207],"category_scores_gemma":[0.01853605,0.0003394733,0.0005558314,0.001103379,0.007498718,0.004447579,0.001152312,0.001571835,0.000963955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610628,"about_ca_system_score_gemma":0.0009624614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001723633,"about_ca_topic_score_gemma":0.001927843,"domain_scores_codex":[0.9958866,0.001819592,0.0002465122,0.000934153,0.0005916019,0.0005216504],"domain_scores_gemma":[0.9912747,0.005982062,0.0007514953,0.0006247459,0.0006852379,0.0006819176],"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":[0.0005251979,0.000181027,0.1403726,0.002148603,0.001346034,0.002870135,0.003106507,0.005078344,0.009375565,0.4731259,0.02642152,0.3354487],"study_design_scores_gemma":[0.0001243108,0.0001907906,0.1101111,0.0006933026,0.0003294216,0.002069728,0.004923801,0.003827702,0.00180783,0.8242078,0.05159279,0.0001213448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5360982,0.0865432,0.05412013,0.1430581,0.002649352,0.0001671409,0.001331721,0.000490802,0.1755413],"genre_scores_gemma":[0.9764155,0.008906806,0.002089441,0.008454833,0.001380994,0.00005916692,0.0001277487,0.00008866882,0.00247692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00614616,"threshold_uncertainty_score":0.03250438,"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."}}