{"id":"W1981553231","doi":"10.1016/j.healthplace.2013.07.007","title":"Contextual determinants of cardiovascular diseases: Overcoming the residential trap by accounting for non-residential context and duration of exposure","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Neighbourhood (mathematics); Duration (music); Multilevel model; Environmental health; Logistic regression; Recreation; Context (archaeology); Geography; Demography; Medicine; Gerontology; Psychology; Statistics; Mathematics; Sociology","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":[0.004030795,0.001229508,0.00118707,0.001321134,0.001311895,0.002324669,0.002431671,0.001573869,0.0030009],"category_scores_gemma":[0.01330961,0.0007688492,0.003420956,0.002313187,0.0008896667,0.002459579,0.003112887,0.001818688,0.0002532474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007639712,"about_ca_system_score_gemma":0.003653271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08849706,"about_ca_topic_score_gemma":0.1332065,"domain_scores_codex":[0.9955931,0.002528523,0.0003315072,0.0007850323,0.0002516635,0.0005102501],"domain_scores_gemma":[0.9919602,0.00412546,0.001050144,0.001625978,0.0005198736,0.0007182524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006263724,0.0003574366,0.9346489,0.0002349489,0.00621388,0.0003819894,0.000648837,0.01973188,0.0004647155,0.004220547,0.001511524,0.03095905],"study_design_scores_gemma":[0.00009042353,0.000927924,0.8500089,0.0002683011,0.006226553,0.0003230464,0.002554215,0.1188138,0.0008524241,0.01264833,0.007104488,0.0001814883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519064,0.00436532,0.03590086,0.002033147,0.0006869194,0.0001201364,0.001948492,0.0002371717,0.002801525],"genre_scores_gemma":[0.9927992,0.0004887474,0.005350276,0.00008513786,0.0001496558,0.00005218876,0.0004696209,0.00002359481,0.0005816167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08849706,"threshold_uncertainty_score":0.1759639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698773129574905,"score_gpt":0.3011386090637991,"score_spread":0.2841508777680501,"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."}}