{"id":"W1955729116","doi":"10.1093/genetics/160.3.1191","title":"Selection, Load and Inbreeding Depression in a Large Metapopulation","year":2002,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inbreeding depression; Biology; Selection (genetic algorithm); Population fragmentation; Population; Inbreeding; Genetic load; Metapopulation; Evolutionary biology; Effective population size; Directional selection; Genetics; Dominance (genetics); Balancing selection; Allele; Genetic variation; Demography; Gene","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":[0.0001132696,0.00008721578,0.00007142146,0.00004347847,0.00005679916,0.00001481002,0.00005168644,0.0001152692,0.00003409233],"category_scores_gemma":[0.00004052595,0.00009211327,0.00002142076,0.0001080739,0.00001971409,0.00000214668,0.00006390679,0.00005819049,0.000006399659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001755267,"about_ca_system_score_gemma":0.00001080602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005215853,"about_ca_topic_score_gemma":0.0004482091,"domain_scores_codex":[0.9993356,0.00002904943,0.0001452468,0.0002184802,0.00009946872,0.000172164],"domain_scores_gemma":[0.9997455,0.000003024349,0.00003712343,0.0001140424,0.00005055956,0.00004971445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001779485,0.0001000026,0.7413844,0.00001699821,0.00001950528,0.000001112434,0.0002010756,0.002381963,0.2451753,0.00008873517,0.002376442,0.008236628],"study_design_scores_gemma":[0.002278819,0.0002572354,0.6090831,0.00002491132,0.00003661614,0.00007142036,0.000141434,0.3057497,0.02363141,0.000347715,0.05783318,0.0005445553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902635,0.002590986,0.006071701,0.00006793286,0.00006276434,0.00009723074,0.000004169602,0.00001018223,0.0008315144],"genre_scores_gemma":[0.9955297,0.0007614575,0.002902155,0.0001263087,0.00008228433,0.000006627821,0.00002075549,0.00001191072,0.0005587767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033677,"threshold_uncertainty_score":0.375627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078186875971324,"score_gpt":0.2407520156759042,"score_spread":0.229970146916191,"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."}}