{"id":"W2977289556","doi":"10.1161/circresaha.118.312956","title":"Cardiovascular Disease and Fine Particulate Matter","year":2018,"lang":"en","type":"article","venue":"Circulation Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada","funders":"National Institute of Environmental Health Sciences","keywords":"Particulates; Disease; Environmental science; Medicine; Internal medicine; Biology; Ecology","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":[0.0008926828,0.0004416746,0.0004260011,0.00125783,0.0004384504,0.001349661,0.0003634168,0.001416602,0.004547726],"category_scores_gemma":[0.002269205,0.000194843,0.0007941444,0.001542473,0.0005510125,0.0007941849,0.0005502745,0.00113952,0.0004497752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014697,"about_ca_system_score_gemma":0.0007499033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056096,"about_ca_topic_score_gemma":0.01648394,"domain_scores_codex":[0.9994859,0.0001793809,0.00003443755,0.00009979332,0.0001096407,0.00009090471],"domain_scores_gemma":[0.9985262,0.0004705462,0.0003161507,0.000126124,0.0001857016,0.0003751902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001062886,0.00062963,0.9010215,0.0005412266,0.001138423,0.0006229391,0.0002425803,0.0002751596,0.003080548,0.003018375,0.006430675,0.08193619],"study_design_scores_gemma":[0.00002254943,0.0002620535,0.9864738,0.00009751538,0.0003074235,0.0003115939,0.0002573286,0.0001569006,0.0003130161,0.001983181,0.00980387,0.00001089104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6751821,0.2638611,0.001882858,0.01854157,0.003604877,0.00004434628,0.002697887,0.00007938838,0.034106],"genre_scores_gemma":[0.9195532,0.06098644,0.0007141009,0.001958756,0.005845511,0.00002286496,0.00124478,0.00001595324,0.009658377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056096,"threshold_uncertainty_score":0.02099895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349610154115466,"score_gpt":0.3910555968819913,"score_spread":0.2560945814704447,"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."}}