{"id":"W3168984589","doi":"10.1289/isee.2020.virtual.p-0982","title":"Estimating the impacts of fine particulate matter concentration from different sources on the mortality of cardiovascular diseases: a population-based cohort study","year":2020,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Health Canada","funders":"","keywords":"Environmental health; Hazard ratio; Particulates; Cohort; Confidence interval; Proportional hazards model; Cohort study; Population; Medicine; Demography; Environmental science; Ecology; Surgery; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005014799,0.0001840358,0.0003891568,0.000007640227,0.0001643114,0.00004745385,0.00028712,0.00004712226,0.001077998],"category_scores_gemma":[0.0003760332,0.0001047789,0.0001390566,0.0001066848,0.0001716247,0.0001275676,0.00005911485,0.0001650209,0.00005537113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000519963,"about_ca_system_score_gemma":0.00004695074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008794642,"about_ca_topic_score_gemma":0.0003913315,"domain_scores_codex":[0.9977271,0.000347064,0.0006036917,0.0003028701,0.0007698326,0.0002494268],"domain_scores_gemma":[0.9983746,0.0004494713,0.000425721,0.0005279914,0.00002759087,0.0001946701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000324302,0.0001569157,0.70919,0.00002679096,0.00009490877,0.000001524404,0.001342785,0.2887181,0.0001031335,0.000007295655,0.00006670676,0.0002594088],"study_design_scores_gemma":[0.0003404644,0.0001308194,0.9795374,0.00005901719,0.0002207344,8.318741e-8,0.0002210808,0.01801683,0.0011922,0.0001655114,0.000006976757,0.0001088715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953066,0.00002925618,0.0004330097,0.002919848,0.00004954587,0.001062951,0.00007262344,0.00001857419,0.0001076409],"genre_scores_gemma":[0.9987647,0.00000156324,0.0000496205,0.001055958,0.00004411653,0.00003438228,0.00003888428,0.000009434098,0.000001321387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2707013,"threshold_uncertainty_score":0.9998351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04799987007606592,"score_gpt":0.2933481264421727,"score_spread":0.2453482563661067,"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."}}