{"id":"W4393954092","doi":"10.3346/jkms.2024.39.e131","title":"Association Between Individual Air Pollution (PM<sub>10</sub>, PM<sub>2.5</sub>) Exposure and Adverse Pregnancy Outcomes in Korea: A Multicenter Prospective Cohort, Air Pollution on Pregnancy Outcome (APPO) Study","year":2024,"lang":"en","type":"article","venue":"Journal of Korean Medical Science","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Ulsan University Hospital; Korea Evaluation Institute of Industrial Technology; Korea National Institute of Health; Ministry of Science and ICT, South Korea; Ministry of Education, India; Ministry of Trade, Industry and Energy; Korea University; Ewha Womans University; Yonsei University; Korea University Guro Hospital; Keimyung University; Kangwon National University; National Research Foundation; National Research Foundation of Korea","keywords":"Pregnancy; Medicine; Prospective cohort study; Logistic regression; Cohort study; Environmental health; Cohort; Air pollution; Observational study; Obstetrics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006627724,0.0003734382,0.0006848678,0.0004378009,0.0004524599,0.00009778402,0.0006410122,0.0003056753,0.00008923961],"category_scores_gemma":[0.0039119,0.0002787912,0.0001612457,0.001298007,0.0007106079,0.001704817,0.0003406882,0.001231808,0.00008588402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503251,"about_ca_system_score_gemma":0.0004940309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001389755,"about_ca_topic_score_gemma":0.0005580105,"domain_scores_codex":[0.9920081,0.0005171839,0.001465305,0.0007418828,0.00432077,0.0009467914],"domain_scores_gemma":[0.9973545,0.0004638909,0.0007923412,0.0002758332,0.00008324286,0.001030211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005929881,0.0007313341,0.966052,0.00006142054,0.00008222814,0.0001448293,0.004699147,0.0001625217,0.0004499219,0.0000388681,0.0004222131,0.02709624],"study_design_scores_gemma":[0.002042774,0.001512921,0.9918053,0.001441135,0.0001459687,0.00001796122,0.0007163617,0.000286131,0.001361729,0.0003337831,0.00004867513,0.0002872363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988099,0.0001970284,0.000216338,0.00939696,0.0005388015,0.001223541,0.00005124488,0.00005534169,0.000221729],"genre_scores_gemma":[0.9982877,0.0001445223,0.0001151894,0.001167092,0.0001834918,0.000022726,0.00000425386,0.00002172077,0.00005333365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.026809,"threshold_uncertainty_score":0.9999664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267432772319509,"score_gpt":0.3163306909727538,"score_spread":0.2895874137408029,"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."}}