{"id":"W203518869","doi":"10.24095/hpcdp.29.4.05","title":"A deprivation index for health planning in Canada","year":2009,"lang":"en","type":"article","venue":"Chronic diseases in Canada","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":560,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de la Santé et des Services Sociaux (Québec)","funders":"","keywords":"Census; Social deprivation; Index (typography); Metropolitan area; Urban agglomeration; Inequality; Medicine; Geography; Regional science; Socioeconomics; Environmental health; Gerontology; Demography; Economic growth; Economic geography; Population; Sociology","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":[0.001070579,0.0005240279,0.0006094034,0.009111024,0.002609642,0.001988678,0.001019356,0.0001834101,0.008111424],"category_scores_gemma":[0.005389898,0.0001924448,0.0007735397,0.01909136,0.0003427498,0.0005415066,0.001363092,0.0006904415,0.000786448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04695106,"about_ca_system_score_gemma":0.07513133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908795,"about_ca_topic_score_gemma":0.992959,"domain_scores_codex":[0.997715,0.0001649314,0.0001837628,0.0001207149,0.001471243,0.0003443593],"domain_scores_gemma":[0.9955258,0.0001066703,0.0002959735,0.00009814026,0.00353388,0.000439435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001907324,0.00008526682,0.3616411,0.0009489844,0.0004032852,0.0001772976,0.001601119,0.004763745,0.0003089143,0.02490265,0.3705796,0.2343973],"study_design_scores_gemma":[0.00003579794,0.00003370727,0.8035482,0.0003049527,0.00008076699,0.000164587,0.0009833411,0.004617976,0.0001762803,0.002185129,0.1877879,0.0000813597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1244191,0.006737232,0.01215052,0.005290286,0.0004483718,0.002716035,0.6276993,0.001071994,0.2194672],"genre_scores_gemma":[0.663049,0.0068858,0.05531498,0.0006776708,0.0001335324,0.001968207,0.2401343,0.0002336819,0.03160287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04695106,"threshold_uncertainty_score":0.3406553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010499812649309,"score_gpt":0.3384741930012481,"score_spread":0.318369194874755,"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."}}