{"id":"W2513027210","doi":"10.7939/r3-0t6f-mf21","title":"Healthcare in Canada's North: Are We Getting Value for Money?","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Institute for Circumpolar Health Research; University of Alberta","funders":"","keywords":"Health care; Per capita; Government (linguistics); Value (mathematics); Rest (music); Geography; Demographic economics; Economic growth; Socioeconomics; Business; Economics; Environmental health; Medicine; Population","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":[0.001525596,0.0002340805,0.0006583221,0.001277313,0.009667239,0.004678102,0.001097033,0.0007062827,0.0049915],"category_scores_gemma":[0.006629967,0.0001931156,0.0003161535,0.00467079,0.004073848,0.001844584,0.001856328,0.001588513,0.0002780686],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05046923,"about_ca_system_score_gemma":0.1659749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929917,"about_ca_topic_score_gemma":0.9971237,"domain_scores_codex":[0.9966283,0.0003284198,0.00006354643,0.0001697531,0.001029742,0.001780255],"domain_scores_gemma":[0.9926842,0.0006456418,0.001190445,0.0001384407,0.00230816,0.003033106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002594837,0.0001700003,0.5758805,0.001151524,0.0002230078,0.001098556,0.04435395,0.0003819038,0.0004671095,0.0309539,0.1539973,0.1910628],"study_design_scores_gemma":[0.00002986504,0.00005650762,0.7344935,0.002549089,0.0001280852,0.00029535,0.1404254,0.0002459959,0.0001972454,0.004853487,0.1166404,0.00008498061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6302796,0.01304231,0.0004461021,0.2494471,0.0007512676,0.00009287712,0.003016801,0.00003585557,0.102888],"genre_scores_gemma":[0.9736543,0.008534334,0.0005611476,0.01164101,0.0001280358,0.00003049856,0.0004841989,0.00001505082,0.004951515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9495308,"threshold_uncertainty_score":0.3661816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0700501012639636,"score_gpt":0.3223333315383068,"score_spread":0.2522832302743432,"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."}}