{"id":"W6961222174","doi":"10.14288/1.0216875","title":"M.S. Aorangi at Vancouver","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Government (linguistics); Work (physics); Subject (documents); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004030663,0.0006042738,0.0003248224,0.001538071,0.005775217,0.002126014,0.0006457379,0.0009925342,0.4066618],"category_scores_gemma":[0.0006587135,0.0003840569,0.0003001796,0.001501163,0.0006448086,0.0007744587,0.001732371,0.002002706,0.2044868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472762,"about_ca_system_score_gemma":0.00497877,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2261115,"about_ca_topic_score_gemma":0.6749336,"domain_scores_codex":[0.9996555,0.00001373452,0.000005580609,0.00007406934,0.00017943,0.00007166275],"domain_scores_gemma":[0.9991672,0.00002334529,0.00001515227,0.00007709544,0.0004002462,0.0003169852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003363144,0.00002718119,0.001089073,0.00004878222,0.000002859564,0.0002198111,0.000196622,0.00005524282,0.001086756,0.001718722,0.9164088,0.07911253],"study_design_scores_gemma":[0.000003103942,0.000006557906,0.002663366,0.00003744821,0.000001751566,0.00007575185,0.0001879162,0.00003587897,0.0002220968,0.0001705797,0.9965907,0.000004830182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003143208,0.000929598,0.0008336415,0.002536378,0.001712735,0.0000978479,0.003118765,0.001178015,0.9864498],"genre_scores_gemma":[0.0039535,0.0004292419,0.00062822,0.0001628089,0.00006255444,0.00001169354,0.0007716034,0.0001584121,0.9938219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7738885,"threshold_uncertainty_score":0.8463249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489301434473503,"score_gpt":0.2503416810591444,"score_spread":0.2354486667144094,"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."}}