{"id":"W4294169513","doi":"10.1101/2022.08.29.22279358","title":"Ambient Air Pollution and Subclinical Cardiovascular Disease Measured by Magnetic Resonance Imaging in the Canadian Alliance for Healthy Hearts and Minds Study","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; McGill University; McGill University Health Centre; University of British Columbia; Public Health Ontario; University of Toronto; Population Health Research Institute; McMaster University; University of Calgary; Impact","funders":"","keywords":"Subclinical infection; Medicine; Cohort; Air pollution; Environmental health; Pollutant; Ozone; Air pollutants; Internal medicine; Meteorology; Geography; Chemistry","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":[0.0010158,0.0006653709,0.000670671,0.0009406444,0.002561875,0.001190345,0.001436866,0.000731526,0.002104905],"category_scores_gemma":[0.00166454,0.0003747595,0.0007830051,0.002484565,0.0006493522,0.0003253068,0.0008860856,0.0008508855,0.0001775801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008747215,"about_ca_system_score_gemma":0.01460888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9783523,"about_ca_topic_score_gemma":0.9842554,"domain_scores_codex":[0.9990158,0.00008038516,0.00006244279,0.0002468646,0.000275192,0.0003193537],"domain_scores_gemma":[0.9986973,0.00005382893,0.0002208751,0.00009732875,0.0005769148,0.0003536917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002323376,0.00003955761,0.9946644,0.00005516882,0.0002388013,0.000065467,0.0002157807,0.00009713078,0.0002698113,0.0001697518,0.002339794,0.001611863],"study_design_scores_gemma":[0.00002244987,0.00001889637,0.998676,0.00002032628,0.00008543528,0.00002046128,0.0001413725,0.0001627939,0.00003314554,0.00004127769,0.0007687112,0.000009167786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711529,0.001930474,0.0004797625,0.0006797396,0.00007795532,0.0001542066,0.02073731,0.00002957829,0.004758177],"genre_scores_gemma":[0.9927238,0.0003843107,0.0003858634,0.0001474631,0.00002209742,0.00006350038,0.004781945,0.00000723877,0.001483938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02164769,"threshold_uncertainty_score":0.06346583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05719073505772646,"score_gpt":0.3183766496656389,"score_spread":0.2611859146079124,"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."}}