{"id":"W2337675557","doi":"10.5210/ojphi.v8i1.6601","title":"Surveillance Systems that Include Deprivation Indices & Social Determinants of Health","year":2016,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre","funders":"","keywords":"Social deprivation; Public health; Health equity; Session (web analytics); Geographic information system; Equity (law); Social determinants of health; Health information; Computer science; Data science; Geocoding; World Wide Web; Environmental health; Knowledge management; Medicine; Geography; Health care; Political science; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007913261,0.0008419012,0.0005718501,0.005115595,0.0009709334,0.002749193,0.0008684331,0.0005246316,0.03304813],"category_scores_gemma":[0.00976038,0.0005823655,0.0006854502,0.004261479,0.0002630682,0.002391408,0.002953614,0.0008270106,0.008649275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006562562,"about_ca_system_score_gemma":0.00124665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0046902,"about_ca_topic_score_gemma":0.007173906,"domain_scores_codex":[0.9975763,0.001217488,0.0002344618,0.0002623895,0.0005328764,0.0001764401],"domain_scores_gemma":[0.9922673,0.00433752,0.0007550865,0.0007125128,0.001379156,0.0005485061],"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":[0.0004172719,0.0008260429,0.06494068,0.001060064,0.0001912417,0.0001180095,0.003468597,0.003037949,0.004908031,0.007332334,0.280085,0.633615],"study_design_scores_gemma":[0.0002758043,0.0009364933,0.2159143,0.001115928,0.0001560207,0.0003551818,0.008462383,0.02166068,0.01183651,0.02110464,0.7177222,0.0004598398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1612961,0.002193879,0.2931692,0.01893274,0.002870577,0.0174451,0.1709083,0.03449073,0.2986934],"genre_scores_gemma":[0.4367413,0.003428825,0.4038449,0.001815622,0.0007890199,0.01284793,0.08061941,0.001670844,0.05824222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03304813,"threshold_uncertainty_score":0.110557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4237581803110664,"score_gpt":0.5099231160398348,"score_spread":0.08616493572876832,"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."}}