{"id":"W2025893779","doi":"10.1086/653672","title":"Ecological Determinants of Mutation Load and Inbreeding Depression in Subdivided Populations","year":2010,"lang":"en","type":"article","venue":"The American Naturalist","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Genetic load; Inbreeding depression; Selection (genetic algorithm); Biology; Competition (biology); Inbreeding; Interspecific competition; Evolutionary biology; Ecology; Mutation rate; Population; Mutation; Genetics; Gene; Demography; Computer science","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":[0.0001386748,0.0000545927,0.00008367322,0.00002184067,0.00004510521,0.000006685694,0.00008959438,0.00004234029,0.000004270689],"category_scores_gemma":[0.0001869284,0.00003816404,0.00002038664,0.00009171867,0.000237784,0.000002361617,0.00006306553,0.00009765167,7.033804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005973335,"about_ca_system_score_gemma":0.00001875679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003015139,"about_ca_topic_score_gemma":0.003663849,"domain_scores_codex":[0.9995706,0.00003680346,0.000121509,0.0001202635,0.00006560183,0.00008522048],"domain_scores_gemma":[0.999681,0.0000180205,0.0001072614,0.0001309638,0.0000396418,0.0000231429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005996276,0.00003833719,0.5392078,0.000003745333,0.000003857715,0.000001385733,0.00007470183,0.00006922194,0.4505169,0.0001141804,0.000122589,0.009787355],"study_design_scores_gemma":[0.0002003481,0.00004727379,0.9893437,0.000003293246,0.000005404382,0.00002195835,0.00007589938,0.003208846,0.006772894,0.000159266,0.0001014001,0.00005968718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994869,0.00006402907,0.00005653039,0.0001371845,0.00006564483,0.00007006539,0.000005621815,0.000003507241,0.0001104928],"genre_scores_gemma":[0.9989378,0.00002787306,0.0008027018,0.000122713,0.0000282245,0.00000405419,0.00001800006,0.000004042816,0.00005455854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.450136,"threshold_uncertainty_score":0.2044514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141992528619035,"score_gpt":0.2998813916998739,"score_spread":0.2884614664136836,"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."}}