{"id":"W4406708463","doi":"10.2196/58944","title":"Assessing the Impact of Distance Traveled and Birth Volumes of Hospital Maternity Units on Newborn Outcomes: Population-Based Cohort Study","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della Salute","keywords":"Medicine; Childbirth; Population; Apgar score; Cohort; Demography; Pediatrics; Pregnancy; Birth weight; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004339439,0.0004814976,0.0006474677,0.0009356349,0.0005687502,0.00101924,0.001383192,0.0008426781,0.001593975],"category_scores_gemma":[0.008659908,0.0006146547,0.001364245,0.001555189,0.0003478071,0.0008007761,0.00116065,0.001201958,0.0002722428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007895955,"about_ca_system_score_gemma":0.0009154942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0242909,"about_ca_topic_score_gemma":0.02377548,"domain_scores_codex":[0.9976975,0.0007205321,0.0002242923,0.0007123608,0.0003438239,0.0003013719],"domain_scores_gemma":[0.9955912,0.0009260872,0.001723004,0.0007897766,0.0004668378,0.0005031818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001346137,0.00003520541,0.9982105,0.00002407275,0.0003921308,0.00006021032,0.00007780463,0.0000635032,0.00006299459,0.00004030058,0.0001741478,0.000724566],"study_design_scores_gemma":[0.00001597842,0.0001563607,0.9986191,0.00002288696,0.0001749781,0.0001386478,0.0001656733,0.0003712,0.00002629547,0.00002508215,0.0002765911,0.000007194267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963984,0.000491384,0.0004294892,0.00007503083,0.00001851278,0.00004941767,0.002165785,0.000006902965,0.0003649861],"genre_scores_gemma":[0.9974318,0.0002721226,0.0004490429,0.00004885381,0.00001775407,0.00007944433,0.001467579,0.000008013117,0.0002254873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242909,"threshold_uncertainty_score":0.04829901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03389358809790982,"score_gpt":0.3927199137509998,"score_spread":0.35882632565309,"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."}}