{"id":"W1925438671","doi":"","title":"NunaFam: training Family Physicians in the Canadian Artic","year":2014,"lang":"en","type":"article","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"General partnership; Population; Medicine; Arctic; Family medicine; Nursing; Medical education; Political science; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001210595,0.0003669212,0.0001389999,0.000935187,0.02034101,0.002089828,0.001511913,0.001409958,0.03201396],"category_scores_gemma":[0.002351169,0.0003824895,0.0002576878,0.001370677,0.001821961,0.0009073045,0.002992539,0.001620377,0.002300594],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04573168,"about_ca_system_score_gemma":0.1926157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974312,"about_ca_topic_score_gemma":0.9938166,"domain_scores_codex":[0.9986131,0.000130362,0.00002488211,0.0001245908,0.0003408529,0.0007661959],"domain_scores_gemma":[0.9945362,0.0001256176,0.0001170081,0.00003892717,0.0008070979,0.00437512],"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":[0.0002204627,0.0004914572,0.09949116,0.0008502359,0.00002168499,0.004299134,0.06032775,0.0003413815,0.002988833,0.009184278,0.4688053,0.3529783],"study_design_scores_gemma":[0.00003578448,0.0001293066,0.1300028,0.0006647659,0.00001537622,0.001654395,0.06674824,0.0002129824,0.000443329,0.0006950498,0.799344,0.00005399972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.398129,0.03431248,0.001662449,0.2044365,0.00535598,0.0009822443,0.002718468,0.0007059867,0.3516971],"genre_scores_gemma":[0.6261199,0.01665839,0.008627501,0.02876015,0.0004800716,0.0003155258,0.000964986,0.0001576039,0.3179158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9542683,"threshold_uncertainty_score":0.3318081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08544207237392268,"score_gpt":0.3705480331397589,"score_spread":0.2851059607658362,"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."}}