{"id":"W2046076840","doi":"10.3390/ijerph7052407","title":"The Geography of Diabetes in London, Canada: The Need for Local Level Policy for Prevention and Management","year":2010,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Institute for Clinical Evaluative Sciences; Western University","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Socioeconomic status; Disadvantaged; Equity (law); Psychological intervention; Geography; Context (archaeology); Environmental health; Health equity; Social determinants of health; Census; Gerontology; Health care; Socioeconomics; Economic growth; Medicine; Sociology; Political science; Population; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002558129,0.0003394487,0.00082007,0.002091608,0.007846992,0.007621592,0.00246766,0.001709385,0.006935898],"category_scores_gemma":[0.01078944,0.0003585653,0.0005843204,0.004189895,0.00607131,0.003003963,0.00509108,0.003128973,0.0006661329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0754647,"about_ca_system_score_gemma":0.2497029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861101,"about_ca_topic_score_gemma":0.9921938,"domain_scores_codex":[0.9976133,0.0007991046,0.0001591556,0.0002045743,0.0004841547,0.0007397335],"domain_scores_gemma":[0.9872096,0.001715285,0.001031639,0.000294672,0.002834114,0.006914825],"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":[0.0003949685,0.0003179952,0.2659976,0.006723221,0.0003077093,0.002022715,0.02609112,0.004692813,0.001243597,0.05800188,0.2695653,0.3646411],"study_design_scores_gemma":[0.0001514794,0.0001567943,0.5030965,0.006182136,0.0002644098,0.0005520466,0.07804437,0.001828097,0.0003224726,0.01804871,0.3909808,0.000372337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1060507,0.06364276,0.002033197,0.7818821,0.0007039391,0.0002661286,0.002159635,0.0002391245,0.04302231],"genre_scores_gemma":[0.8646833,0.06281924,0.008994395,0.04510435,0.0006069437,0.0004370588,0.001992893,0.0001450713,0.01521673],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0754647,"threshold_uncertainty_score":0.5475373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979510447944719,"score_gpt":0.4083899919862593,"score_spread":0.3485948875068121,"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."}}