{"id":"W1611716624","doi":"10.3402/ijch.v74.28436","title":"Assessing health care in Canada's North: what can we learn from national and regional surveys?","year":2015,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Circumpolar Health Research; Public Health Ontario; University of Toronto; University of Alberta","funders":"U.S. Public Health Service","keywords":"Comparability; Health care; Sample (material); Population; Geography; Community health; Population health; Circumpolar star; Environmental health; Medicine; Political science","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":[0.1123327,0.002130518,0.004959698,0.01017968,0.00625513,0.01490466,0.007843838,0.003859512,0.002969837],"category_scores_gemma":[0.2452687,0.001386557,0.002810608,0.02247342,0.009207495,0.01329774,0.007246994,0.006995211,0.0006924582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0746684,"about_ca_system_score_gemma":0.1879758,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9717639,"about_ca_topic_score_gemma":0.9795266,"domain_scores_codex":[0.9525871,0.02399739,0.00326696,0.003113555,0.01372123,0.003313765],"domain_scores_gemma":[0.7665467,0.1110212,0.007064378,0.01320338,0.08846999,0.01369437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002345662,0.000166905,0.2581106,0.01106993,0.0016822,0.0003619179,0.0160523,0.001690885,0.000106732,0.01385942,0.105956,0.5907085],"study_design_scores_gemma":[0.0001820114,0.0003321583,0.5882215,0.08067995,0.002312101,0.0003488414,0.0436069,0.004602566,0.0003421369,0.0351538,0.2436669,0.0005509913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03637523,0.4483485,0.009721996,0.4667348,0.005327772,0.0005885633,0.007774988,0.0003925477,0.02473559],"genre_scores_gemma":[0.3753373,0.4940783,0.0491875,0.06731573,0.004919643,0.0008787056,0.005220074,0.0002239181,0.002838776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1123327,"threshold_uncertainty_score":0.5940791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000311711196277,"score_gpt":0.4170479508005005,"score_spread":0.3170167796808728,"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."}}