{"id":"W4286252269","doi":"10.1016/j.envres.2022.113926","title":"Long-term exposure to air pollution, coronary artery calcification, and carotid artery plaques in the population-based Swedish SCAPIS Gothenburg cohort","year":2022,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Skånes universitetssjukhus; Uppsala Universitet; Göteborgs Universitet; Sahlgrenska Universitetssjukhuset; Umeå Universitet; Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Stockholms Läns Landsting; Karolinska Institutet; VINNOVA; Forskningsrådet om Hälsa, Arbetsliv och Välfärd; Hjärt-Lungfonden; Riksförbundet HjärtLung; University Hospitals; Lunds Universitet; Linköpings Universitet; Cement Association of Canada","keywords":"Medicine; Cardiology; Cohort; Internal medicine; Population; Coronary artery disease; Common carotid artery; Myocardial infarction; Stroke (engine); Carotid arteries; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118317,0.0009171797,0.001151995,0.002556445,0.001059381,0.001865257,0.001045384,0.001206123,0.001398556],"category_scores_gemma":[0.001361712,0.001425087,0.001462827,0.002043361,0.0007315051,0.0005714611,0.00171078,0.0008121413,0.0006876195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488504,"about_ca_system_score_gemma":0.001701507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07170571,"about_ca_topic_score_gemma":0.06039194,"domain_scores_codex":[0.9992637,0.00009515563,0.0001061546,0.0002294553,0.0001484386,0.0001570989],"domain_scores_gemma":[0.9995053,0.00004662928,0.0001253259,0.0001387136,0.00007171665,0.0001122764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008494236,0.0001337955,0.9902885,0.000104273,0.001049894,0.0009262742,0.0009974871,0.0002586592,0.001097965,0.0001512044,0.001219828,0.002922642],"study_design_scores_gemma":[0.00006476603,0.0000876155,0.9976315,0.00004596018,0.000353408,0.000269067,0.0003576042,0.0001575457,0.00007056605,0.00006696452,0.0008815866,0.00001331571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967448,0.000772087,0.0001048977,0.00008038758,0.00002095796,0.00003245007,0.001751299,0.0000155502,0.0004776371],"genre_scores_gemma":[0.9930452,0.0007212251,0.0002809427,0.000119924,0.00003091061,0.000165977,0.004045804,0.00001801743,0.001572018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07170571,"threshold_uncertainty_score":0.1425766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04964704395951131,"score_gpt":0.3381861988265338,"score_spread":0.2885391548670225,"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."}}