{"id":"W4390231876","doi":"10.1515/jpm-2023-0151","title":"Determinants of prematurity in urban Indonesia: a meta-analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Perinatal Medicine","topic":"Preterm Birth and Chorioamnionitis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Premature birth; Bacterial vaginosis; Pregnancy; Population; Birth attendant; Environmental health; Socioeconomic status; Low birth weight; Indonesian; Meta-analysis; Obstetrics; Pediatrics; Gestational age; Maternal health; Health services","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":[],"consensus_categories":[],"category_scores_codex":[0.0009634048,0.0001541737,0.001801306,0.001200467,0.00002231777,0.000003771603,0.0001702043,0.00009612783,0.0003741411],"category_scores_gemma":[0.0004578153,0.00009701031,0.0006762125,0.001556459,0.0001382007,0.0001249112,0.00004721876,0.0003657597,0.000004510492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003995576,"about_ca_system_score_gemma":0.00008776529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005140623,"about_ca_topic_score_gemma":0.00004294193,"domain_scores_codex":[0.9979067,0.00007669666,0.0009711116,0.0001412877,0.0006789577,0.0002252712],"domain_scores_gemma":[0.9986462,0.0001423364,0.0005085815,0.0002543618,0.0002395056,0.0002090203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008249491,0.0002021873,0.9564419,0.0008719857,0.02318549,0.007331508,0.003089122,0.00001199158,0.00369215,0.00004040212,0.001462613,0.002845653],"study_design_scores_gemma":[0.002908723,0.001568379,0.9419801,0.0001977689,0.04815092,0.001114246,0.0005512768,0.0002325212,0.002426461,0.00008656058,0.0006695234,0.0001135262],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951562,0.003093479,0.00001209036,0.001191677,0.0001623525,0.0001270092,0.000014073,0.00001149018,0.0002316545],"genre_scores_gemma":[0.9990306,0.0003076711,0.0001132609,0.0001022651,0.0002089102,0.000004811324,0.000005293309,0.00001153141,0.0002156584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02496543,"threshold_uncertainty_score":0.4096583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05017560145045833,"score_gpt":0.3355468209286916,"score_spread":0.2853712194782332,"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."}}