{"id":"W4410691941","doi":"10.3390/urbansci9060185","title":"Urban Air and Emergency Department Visits in Toronto, Canada","year":2025,"lang":"en","type":"article","venue":"Urban Science","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emergency department; Medical emergency; Geography; Emergency medicine; Medicine; Nursing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000343959,0.00009330999,0.00009870566,0.00003254952,0.0002153935,0.00001607041,0.0002597428,0.00002211455,0.001113867],"category_scores_gemma":[0.00006248712,0.00008485136,0.000008698314,0.0005125276,0.0001278804,0.0003262564,0.000229067,0.00005411821,0.00001718425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712643,"about_ca_system_score_gemma":0.0001849143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.59825,"about_ca_topic_score_gemma":0.9468003,"domain_scores_codex":[0.9986471,0.00001449177,0.0001818578,0.0003456645,0.0003343037,0.0004765688],"domain_scores_gemma":[0.9995146,0.00001845727,0.00003538722,0.0002028418,0.000007330101,0.0002214085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005054862,0.00002626359,0.8877305,0.00001463108,5.274862e-7,0.000007293172,0.000507533,0.000008925818,0.001064269,0.0002525075,0.1070385,0.003343909],"study_design_scores_gemma":[0.0001384834,0.00002737758,0.9623619,0.00002068585,0.00000197181,0.000001220697,0.0002241598,0.0003230883,0.0006636256,0.00009735649,0.03603688,0.0001032845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419197,0.0008549925,0.000005924409,0.001291014,0.0003950007,0.0002110273,0.000008500371,0.0000127339,0.0553011],"genre_scores_gemma":[0.9970706,0.0001935345,0.00005481251,0.001183053,0.00001898161,0.00001197375,0.000001204186,0.000002859743,0.00146305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3485503,"threshold_uncertainty_score":0.9997993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451938564715727,"score_gpt":0.2905693464009161,"score_spread":0.2760499607537588,"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."}}