{"id":"W4232007641","doi":"10.1515/energyo.0036.00002","title":"AIR POLLUTION AND EMERGENCY DEPARTMENT VISITS FOR ISCHEMIC HEART DISEASE IN MONTREAL, CANADA","year":2018,"lang":"en","type":"dataset","venue":"energyo","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emergency department; Air pollution; Medicine; Medical emergency; Emergency medicine; Environmental health; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695034,0.0001896342,0.0001956898,0.00002807554,0.0001369858,0.000005913418,0.0001300399,0.0001075588,0.0007318435],"category_scores_gemma":[0.00006680689,0.0001835587,0.00002749752,0.00008611594,0.00004134746,0.0000817999,0.0001069961,0.00009410638,0.00002791943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918286,"about_ca_system_score_gemma":0.0001794154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8638288,"about_ca_topic_score_gemma":0.9807403,"domain_scores_codex":[0.9986712,0.00005116636,0.0002735883,0.0003619624,0.0002466274,0.000395504],"domain_scores_gemma":[0.9991865,0.00002169519,0.00009597331,0.0002805658,0.000004571182,0.0004107021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005018439,0.00004251906,0.0005915398,0.00007147669,0.00000348888,0.000004407017,0.00001011404,0.000286591,0.000003165872,0.000001419471,0.998674,0.0002610868],"study_design_scores_gemma":[0.0001925039,0.00005399683,0.06855194,0.00002676272,0.00001554743,7.464652e-7,0.000003616954,0.00009609227,0.00001240749,0.00009424135,0.930768,0.000184151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01760586,0.0003618618,0.000008031357,0.00383727,0.0003301191,0.000317867,0.9774763,0.000008055366,0.00005465861],"genre_scores_gemma":[0.01408761,0.0006253173,0.0001168336,0.007720078,0.0002930551,0.000141381,0.9763081,0.00001681232,0.000690828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1169114,"threshold_uncertainty_score":0.8013173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463621192612807,"score_gpt":0.27569043365955,"score_spread":0.2610542217334219,"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."}}