{"id":"W2567425053","doi":"","title":"Diabetes and the off-reserve Aboriginal population in Canada","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Diabetes mellitus; Population; Medicine; Geography; Gerontology; Environmental health; Endocrinology","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":[0.0004657637,0.0002442612,0.0004224827,0.001301642,0.009805695,0.002701675,0.001197921,0.001031922,0.003312923],"category_scores_gemma":[0.001522625,0.0003278446,0.0005550433,0.00405805,0.001468767,0.0007311034,0.001805691,0.002588951,0.0002809498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03626109,"about_ca_system_score_gemma":0.06565039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980237,"about_ca_topic_score_gemma":0.9988285,"domain_scores_codex":[0.9990048,0.00007060775,0.00002836447,0.00006626989,0.0001566546,0.0006734126],"domain_scores_gemma":[0.9985215,0.00006217801,0.0001240349,0.00002077188,0.0003609732,0.0009104408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001944202,0.0004900664,0.9130528,0.0001753548,0.00009899265,0.0008767529,0.03663955,0.000220704,0.0003043941,0.001854361,0.01084736,0.03524531],"study_design_scores_gemma":[0.00001980456,0.00006602063,0.9039395,0.0003194469,0.00006160047,0.0001772618,0.08744866,0.0001762845,0.00004952508,0.0002837716,0.007422743,0.00003542731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783978,0.004291198,0.00002994509,0.006060251,0.0001266697,0.00004847347,0.001142178,0.000005502618,0.009897961],"genre_scores_gemma":[0.9873903,0.00630103,0.00006481653,0.000967952,0.00005382911,0.0000246643,0.0003885296,0.000005745163,0.004803116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03626109,"threshold_uncertainty_score":0.2630939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005519847895504237,"score_gpt":0.2852893116847676,"score_spread":0.2797694637892633,"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."}}