{"id":"W4396502375","doi":"10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a4858","title":"The Association Between Canadian Wildfire Smoke Infiltration and Statewide Cardiopulmonary Clinical Encounters in Maryland","year":2024,"lang":"en","type":"article","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Smoke; Association (psychology); Infiltration (HVAC); Environmental science; Environmental health; Medicine; Meteorology; Geography; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006532951,0.0001844677,0.0002186297,0.0013592,0.004350118,0.001697553,0.001667649,0.0009877454,0.004789457],"category_scores_gemma":[0.007652624,0.000365623,0.0003058308,0.002294197,0.001093458,0.0007153293,0.001680658,0.001747125,0.0001750061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02234073,"about_ca_system_score_gemma":0.03096651,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9431494,"about_ca_topic_score_gemma":0.9866953,"domain_scores_codex":[0.9980731,0.0002442192,0.0001463379,0.0002655772,0.000454152,0.0008165918],"domain_scores_gemma":[0.9922364,0.000995241,0.002057239,0.0001635405,0.001863833,0.002683834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005097187,0.00007901397,0.9943292,0.000009862857,0.00002483467,0.0001374425,0.0007862995,0.00008651675,0.00005152419,0.0001010495,0.001617555,0.00272583],"study_design_scores_gemma":[0.00000457941,0.00002071676,0.992136,0.00002620728,0.00001342537,0.000106254,0.006367236,0.000216176,0.00003176581,0.00003472731,0.001029014,0.00001386738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922381,0.0002628037,0.00005192506,0.002039415,0.00002794306,0.00002689491,0.0006198563,0.00001131385,0.004721727],"genre_scores_gemma":[0.9986821,0.0001642771,0.0000600543,0.0003334621,0.00002103128,0.0000111619,0.0002289531,0.000003705422,0.0004951145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05685055,"threshold_uncertainty_score":0.1620941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04364399512784529,"score_gpt":0.3314890262568346,"score_spread":0.2878450311289893,"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."}}