{"id":"W2029779422","doi":"10.1016/j.envpol.2013.11.007","title":"Risk assessment for cardiovascular and respiratory mortality due to air pollution and synoptic meteorology in 10 Canadian cities","year":2013,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Air pollution; Environmental science; Poisson regression; Air quality index; Nitrogen dioxide; Ozone; Meteorology; Environmental health; Climatology; Relative risk; Atmospheric sciences; Geography; Medicine; Population; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005869322,0.0001620686,0.0002270574,0.0001084789,0.0002492947,0.00002188528,0.00006127144,0.0001175383,0.0006017109],"category_scores_gemma":[0.00003349784,0.0001668765,0.00005807712,0.00007576658,0.0001898639,0.0002945852,0.00009672332,0.0001081972,0.0001125716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101549,"about_ca_system_score_gemma":0.00001663109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08143342,"about_ca_topic_score_gemma":0.05414021,"domain_scores_codex":[0.9985927,0.0001268212,0.0002253561,0.0003816167,0.0001847752,0.0004887201],"domain_scores_gemma":[0.999283,0.00002131358,0.00005447889,0.0002141009,0.000001536861,0.0004255383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008095503,0.0001904383,0.8889434,0.000106028,0.0001696791,0.000032593,0.002686712,0.006587965,0.01815232,0.0001780712,0.007064907,0.07580698],"study_design_scores_gemma":[0.0004741587,0.0002282991,0.9931957,0.000008903521,0.00004335163,0.000008611572,0.000443155,0.0005293656,0.000093921,0.000698046,0.004102684,0.0001738679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996102,0.0004357551,0.0001498842,0.001626268,0.0000714641,0.001065783,0.0001811613,0.00001274571,0.0003549222],"genre_scores_gemma":[0.9967105,0.0001381518,0.0005659296,0.002241554,0.0000456151,0.0002020107,0.00002273051,0.00001517132,0.00005833735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1042523,"threshold_uncertainty_score":0.9631193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0250532700104462,"score_gpt":0.2665615146541117,"score_spread":0.2415082446436655,"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."}}