{"id":"W4220880948","doi":"10.33137/utjph.v3i1.38128","title":"Explaining Neighbourhood Disparities in Cardiovascular Disease in Hamilton, Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Demography; Population; Geography; Census; Neighbourhood (mathematics); Gerontology; Medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008536995,0.0002851651,0.0004751622,0.001618635,0.003756238,0.001585916,0.001038462,0.000238948,0.004281755],"category_scores_gemma":[0.003461035,0.0002464767,0.0006729141,0.005399638,0.001007832,0.0004041673,0.001612772,0.0004125214,0.0002472256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03837414,"about_ca_system_score_gemma":0.06495137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982733,"about_ca_topic_score_gemma":0.999156,"domain_scores_codex":[0.999071,0.00008546467,0.0000503944,0.0001436401,0.0003517081,0.0002977987],"domain_scores_gemma":[0.9979199,0.000249744,0.000296424,0.0001003671,0.0009436403,0.0004899733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173736,0.00003397339,0.9380248,0.0004027553,0.0001863196,0.0002763199,0.0079355,0.001279182,0.0003384693,0.003864738,0.01791229,0.02962811],"study_design_scores_gemma":[0.00001305467,0.00001557359,0.9813185,0.0002103969,0.00007067928,0.00005652676,0.003988913,0.001071625,0.00006235563,0.000680826,0.01248591,0.00002574565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.902361,0.007052018,0.002842775,0.005333389,0.0001597452,0.0003659147,0.05174481,0.000116138,0.03002416],"genre_scores_gemma":[0.9904235,0.001288275,0.001593476,0.0002037404,0.00002179975,0.00009117683,0.003569541,0.00002018205,0.002788329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03837414,"threshold_uncertainty_score":0.2784252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064733598534693,"score_gpt":0.2503061957102778,"score_spread":0.2196588597249309,"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."}}