{"id":"W3202104440","doi":"10.24095/hpcdp.33.4.09","title":"Cross-Canada Forum – How we identify and count Aboriginal people—does it make a difference in estimating their disease burden?","year":2013,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Concordance; Microdata (statistics); Population; Demography; Community health; Medicine; Affect (linguistics); Identity (music); Gerontology; Census; Psychology; Public health; Sociology; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03169069,0.0005578907,0.001092608,0.004875557,0.003805559,0.004557284,0.003833574,0.001399062,0.02016772],"category_scores_gemma":[0.09085755,0.0005762554,0.001170711,0.007426285,0.001487294,0.002888056,0.003403415,0.001140101,0.004065113],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02022362,"about_ca_system_score_gemma":0.05464013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9373018,"about_ca_topic_score_gemma":0.9610971,"domain_scores_codex":[0.9822522,0.007697439,0.001639394,0.001445828,0.005453179,0.001511918],"domain_scores_gemma":[0.9422383,0.0144252,0.00378462,0.00470879,0.0308018,0.004041311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003249648,0.00005578394,0.3211753,0.001785742,0.0004250244,0.0001574152,0.008171114,0.0005489413,0.000318782,0.005010594,0.4646012,0.1974252],"study_design_scores_gemma":[0.0001020666,0.00009912899,0.5655186,0.004793503,0.0003704106,0.0001924011,0.01444526,0.002117367,0.0007715077,0.002462567,0.4088947,0.0002325206],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2024807,0.04809307,0.03104035,0.3120081,0.0154184,0.003387476,0.1889147,0.002617256,0.1960399],"genre_scores_gemma":[0.7182121,0.01747834,0.08215705,0.05018004,0.002773293,0.004399273,0.05512211,0.001479909,0.0681978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9797764,"threshold_uncertainty_score":0.1675984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944614337580218,"score_gpt":0.320185957047957,"score_spread":0.3107398136721548,"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."}}