{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009214328,0.000273907,0.0005375069,0.0004201823,0.0006727425,0.0009978357,0.000989651,0.0007381401,0.001517624],"category_scores_gemma":[0.004656995,0.0002433045,0.0005318614,0.0003438149,0.001368572,0.001430228,0.0007024435,0.0009066193,0.0001795971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009194543,"about_ca_system_score_gemma":0.0005391008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00570818,"about_ca_topic_score_gemma":0.00352712,"domain_scores_codex":[0.9997596,0.0001046499,0.00001206823,0.0000503557,0.000038056,0.00003528241],"domain_scores_gemma":[0.9981043,0.001098435,0.000292478,0.0001796814,0.0001093635,0.0002156787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001026744,0.0001016697,0.01120281,0.0000875461,0.00009306817,0.0003308718,0.0001905887,0.9117048,0.006639533,0.06392454,0.0005171295,0.005104764],"study_design_scores_gemma":[0.00007641198,0.0001052133,0.00423192,0.00001939098,0.00004034069,0.00008180283,0.00008099032,0.9471313,0.0008060401,0.04682291,0.000568873,0.00003475241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.94772,0.0004008737,0.0457586,0.0003117076,0.00004452315,0.00002319446,0.0001117159,0.000137886,0.005491511],"genre_scores_gemma":[0.9952896,0.0001885763,0.003629003,0.00006594025,0.000007722866,0.00003074938,0.00005240107,0.00002385118,0.0007122413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00570818,"threshold_uncertainty_score":0.01134992,"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."}}