{"id":"W2019878591","doi":"10.1007/s10708-009-9266-9","title":"Social epidemiology as medical geography: Back to the future","year":2009,"lang":"en","type":"article","venue":"GeoJournal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Health geography; Human geography; Public health; Multidisciplinary approach; Historical geography; Epidemiology; Social epidemiology; Population health; Social geography; Geography; Social science; Sociology; Social determinants of health; International health; Medicine; Health policy; Pathology","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":[0.0149621,0.0008932027,0.002359846,0.004376012,0.002906197,0.01447489,0.002113547,0.01224068,0.0135856],"category_scores_gemma":[0.02801069,0.0005738026,0.0009997045,0.004839573,0.02954596,0.03506172,0.006894028,0.0179458,0.001740696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009485704,"about_ca_system_score_gemma":0.01395937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459148,"about_ca_topic_score_gemma":0.03067514,"domain_scores_codex":[0.9957879,0.002564621,0.0001691395,0.0003694818,0.0006695826,0.0004392184],"domain_scores_gemma":[0.952315,0.03304262,0.001679191,0.001897291,0.005820832,0.005245072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001656443,0.0001334761,0.005379001,0.001199113,0.0001109461,0.000142744,0.003544562,0.0009450064,0.0001442585,0.7226881,0.1573331,0.1082141],"study_design_scores_gemma":[0.00003843274,0.00004396865,0.002386043,0.002353717,0.00003958411,0.00008896901,0.008936793,0.0008207492,0.00006617216,0.7640539,0.2210957,0.0000759761],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001510475,0.1898942,0.001364458,0.7954714,0.007010459,0.000004803911,0.00008673367,0.0000452642,0.004612233],"genre_scores_gemma":[0.1813623,0.5231889,0.004642805,0.2243835,0.06013757,0.00004322246,0.0001778006,0.0001533161,0.005910546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02459148,"threshold_uncertainty_score":0.07912803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04122874826703794,"score_gpt":0.4209226466217463,"score_spread":0.3796938983547084,"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."}}