{"id":"W2885667372","doi":"10.7939/r3xd0r573","title":"Population Genomics and Quantitative Genetics of Polar Bears (Ursus maritimus)","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ursus maritimus; Genomics; Biology; Population; Genetics; Evolutionary biology; Genome; Gene; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007513203,0.0001043232,0.000106852,0.0003165836,0.0002333754,0.0003507807,0.0001003158,0.0001392673,0.0004927313],"category_scores_gemma":[0.0006432735,0.0001055005,0.0001684352,0.0004266876,0.000222112,0.0001674692,0.0002094721,0.0002477678,0.00007938233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000205105,"about_ca_system_score_gemma":0.0002554812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003792504,"about_ca_topic_score_gemma":0.004470981,"domain_scores_codex":[0.999752,0.00008556437,0.000007117309,0.00009404346,0.00004181779,0.00001945405],"domain_scores_gemma":[0.9998198,0.00007720719,0.00004465998,0.00001735743,0.00002487424,0.00001601253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002189219,0.0001299768,0.76914,0.00009565785,0.0002975763,0.0001529652,0.002418047,0.005295773,0.1007998,0.009385223,0.001809339,0.1102567],"study_design_scores_gemma":[0.000003374073,0.00005527373,0.9934122,0.0000119483,0.00002349536,0.00008151884,0.0002392241,0.001566256,0.001640502,0.001447077,0.001509176,0.000009903692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932598,0.0003926545,0.004660998,0.000116823,0.00000887571,0.000006341037,0.0003627652,0.00001467602,0.001177114],"genre_scores_gemma":[0.9927205,0.0005700291,0.005233152,0.00007788355,0.00002230805,0.00003586436,0.0004856047,0.00001471535,0.0008400393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003792504,"threshold_uncertainty_score":0.007540822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093060577504597,"score_gpt":0.1847831789499549,"score_spread":0.173852573174909,"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."}}