{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220354,0.0002798997,0.0007548799,0.0009024441,0.0008838169,0.001425848,0.00053827,0.0005541373,0.001128374],"category_scores_gemma":[0.005037688,0.000352184,0.0003159552,0.0005874352,0.0009912839,0.001311257,0.0008580564,0.0004574239,0.0003127297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007790608,"about_ca_system_score_gemma":0.0002890051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253626,"about_ca_topic_score_gemma":0.002428913,"domain_scores_codex":[0.9996159,0.0001419918,0.00003002845,0.000102338,0.00007556686,0.00003418692],"domain_scores_gemma":[0.9983206,0.0007161977,0.0003584535,0.0002701425,0.0001417077,0.0001927479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000434203,0.000305827,0.5883051,0.0002388776,0.001603065,0.002308863,0.002780401,0.1011536,0.1116337,0.08720444,0.001485876,0.1025461],"study_design_scores_gemma":[0.0001488523,0.0004592417,0.5661212,0.00006631255,0.0005588091,0.002514317,0.0005954475,0.2403984,0.003567727,0.1814233,0.003998428,0.0001481663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875293,0.000363043,0.009313105,0.0001735658,0.000007709563,0.00001100894,0.0000365128,0.0000556474,0.002510223],"genre_scores_gemma":[0.9979152,0.0001361589,0.001463873,0.00002655196,0.00001402638,0.000008322721,0.00003181787,0.00001035393,0.0003936861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001425848,"threshold_uncertainty_score":0.006453931,"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."}}