{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008902433,0.0004389901,0.0003377124,0.0004098798,0.0005359994,0.000628755,0.0004113727,0.000526301,0.0007444013],"category_scores_gemma":[0.001485835,0.0006079971,0.0007121063,0.0006490128,0.0001784991,0.0003468468,0.0005319141,0.0006939687,0.0001298254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227797,"about_ca_system_score_gemma":0.0006679489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009181115,"about_ca_topic_score_gemma":0.01229252,"domain_scores_codex":[0.9995698,0.00008972191,0.00006239026,0.0001483514,0.00005720257,0.00007244446],"domain_scores_gemma":[0.9990939,0.00009224883,0.0003303227,0.0001407158,0.0001077481,0.0002351053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002877789,0.00006414751,0.9983203,0.00001189005,0.0001455197,0.00006669362,0.00006727199,0.00002368885,0.0003568993,0.00001328315,0.00009180454,0.0005508165],"study_design_scores_gemma":[0.00002322041,0.0001345499,0.9991155,0.000005761037,0.0001089522,0.0001559784,0.0001146705,0.0001268479,0.00006754591,0.000012337,0.0001307924,0.000003817351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990785,0.000165362,0.00007865224,0.00003621111,0.000006181599,0.00001311701,0.0005086567,0.000001783436,0.000111424],"genre_scores_gemma":[0.9990458,0.0001212338,0.0001328461,0.00003319921,0.000007463957,0.00002466791,0.0004718471,0.000002317339,0.0001606213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009181115,"threshold_uncertainty_score":0.01825535,"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."}}