{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001667886,0.00007588603,0.0001750348,0.00004326084,0.0001915855,0.00001723947,0.0001643528,0.00002150262,0.00004874427],"category_scores_gemma":[0.0002036414,0.00008497505,0.00001717752,0.0002148794,0.00001634648,0.00008545636,0.000008800236,0.00008248109,1.268606e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0273397,"about_ca_system_score_gemma":0.1515287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999989,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9985547,0.00005992991,0.0002667673,0.0001617997,0.0003013434,0.0006554683],"domain_scores_gemma":[0.999312,0.0002027652,0.00006839795,0.0001003761,0.00001773454,0.000298732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001635295,0.00001327152,0.9225798,0.0001332816,0.000002119576,0.0000225231,0.0004256497,0.00267184,1.929969e-8,0.002946247,0.03664698,0.03454188],"study_design_scores_gemma":[0.0004142428,0.00001226648,0.9205285,0.0001374009,0.000001164347,9.442255e-8,0.002785894,0.0009271321,2.240998e-7,0.0005808023,0.07450856,0.000103737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127868,0.01077653,0.0001341354,0.07064123,0.001618966,0.001346305,0.0002455171,0.00002801947,0.002422455],"genre_scores_gemma":[0.9860331,0.0001107287,0.00001207396,0.01360617,0.0001386698,0.000031843,0.00001964213,0.000004815364,0.00004289789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124189,"threshold_uncertainty_score":0.9763942,"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."}}