{"id":"W2141432885","doi":"10.1111/jeb.12343","title":"Selfing, adaptation and background selection in finite populations","year":2014,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":99,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Selfing; Outcrossing; Biology; Evolutionary biology; Population; Mating system; Adaptation (eye); Local adaptation; Selection (genetic algorithm); Genetics; Ecology; Mating; 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":[0.0002590619,0.00007486167,0.0001105153,0.0001341483,0.00005395507,0.000005586538,0.00005944287,0.0001348239,0.00001240318],"category_scores_gemma":[0.0001597397,0.00007142351,0.0000422434,0.0001002821,0.00006074489,0.000007742073,0.00002582881,0.00009926561,0.000002133908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002732864,"about_ca_system_score_gemma":0.00006155932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001801955,"about_ca_topic_score_gemma":0.0001753987,"domain_scores_codex":[0.9992694,0.0001431915,0.0002967451,0.0001210831,0.00005252166,0.000117006],"domain_scores_gemma":[0.9995692,0.00002667805,0.0001745668,0.00005284443,0.0001296223,0.00004711923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004514019,0.0003197015,0.6702428,0.00002836296,0.00009978086,0.00000233298,0.000184764,0.09945718,0.1821603,0.0314027,0.004560026,0.01109053],"study_design_scores_gemma":[0.001273089,0.001257981,0.8310398,0.00001862908,0.00002285077,0.0002946043,0.0001368766,0.1165794,0.0001224425,0.009950799,0.03910824,0.0001952514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561298,0.0009066915,0.142053,0.0003118217,0.0002106037,0.00005151024,0.000004325026,0.000003462001,0.0003287513],"genre_scores_gemma":[0.9873496,0.0001785897,0.01191759,0.0001301612,0.0002371233,0.000001617266,0.00004392729,0.000006167049,0.0001352624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1820379,"threshold_uncertainty_score":0.2912566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247702566427028,"score_gpt":0.2791024829155179,"score_spread":0.2566254572512476,"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."}}