{"id":"W363129665","doi":"10.69645/yqlf1627","title":"Consanguinity and genomic sharing in human evolutionary inference","year":2015,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inference; Consanguinity; Evolutionary biology; Biology; Genetics; Computer science; Artificial intelligence","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":[0.01609317,0.0003468805,0.0009297783,0.002868162,0.001721422,0.001729352,0.0008667483,0.000582948,0.004268683],"category_scores_gemma":[0.07111637,0.0007080198,0.0009742782,0.005226129,0.003411812,0.002396883,0.002597448,0.001974154,0.0002506597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780659,"about_ca_system_score_gemma":0.001236096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01189648,"about_ca_topic_score_gemma":0.02470513,"domain_scores_codex":[0.9807192,0.01695534,0.0004561837,0.001157487,0.000439086,0.0002727217],"domain_scores_gemma":[0.9161469,0.07527816,0.001520406,0.005346049,0.0008925041,0.0008160801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008265821,0.00008326214,0.6442351,0.0005247611,0.004380234,0.001477125,0.004952937,0.02200742,0.002375775,0.1066334,0.005574679,0.2069288],"study_design_scores_gemma":[0.0001629945,0.0002847918,0.3838635,0.0005681239,0.002094,0.003328382,0.00382109,0.08629086,0.002782304,0.5003224,0.01626772,0.0002137329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513242,0.005635394,0.1264245,0.002801167,0.000163889,0.00008384596,0.001550735,0.0001857531,0.0118305],"genre_scores_gemma":[0.985126,0.0004661384,0.01321297,0.0001540838,0.00008314632,0.00004467699,0.0003894783,0.00005069852,0.000472781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01609317,"threshold_uncertainty_score":0.08510983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144220939742364,"score_gpt":0.3021312717547494,"score_spread":0.2706890623573258,"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."}}