{"id":"W1976878074","doi":"10.12927/whp..17503","title":"Risk factors for Perinatal Deaths in Rural Bangladesh","year":2013,"lang":"en","type":"article","venue":"World health & population","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Nursing research; Nursing; Administration (probate law); Developing country; Unit (ring theory); Health care; Health policy; Peer review; Medicine; Economic growth; Public health; Psychology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001557137,0.0001151202,0.000256839,0.000150399,0.0001297531,0.00001275864,0.00003889197,0.00004562625,0.0001321803],"category_scores_gemma":[0.00004361104,0.00009383482,0.00005711403,0.0001674759,0.000009294652,0.0001119891,0.00001222972,0.0001665864,0.00003737801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292564,"about_ca_system_score_gemma":0.00005142767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04438937,"about_ca_topic_score_gemma":0.003851555,"domain_scores_codex":[0.9988924,0.00004331593,0.0003808322,0.000156426,0.0001493077,0.0003777155],"domain_scores_gemma":[0.9994441,0.00004200848,0.0001379632,0.0001213854,0.00004303965,0.0002115257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005443671,0.00003922957,0.9872643,0.0001946133,0.000003637549,5.155329e-7,0.000251171,0.00001209844,0.000005889892,0.001337461,0.001227442,0.009609158],"study_design_scores_gemma":[0.0009064261,0.0001796583,0.9929432,0.0001395899,0.000006154534,0.000003824458,0.0001397685,0.0007357846,0.00000660732,0.001382346,0.003480048,0.00007660571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929827,0.0001759513,0.00004506005,0.004992491,0.000239344,0.001267442,0.00002511668,0.00005448595,0.0002174214],"genre_scores_gemma":[0.9963871,0.00003896086,0.0008634097,0.001610443,0.0001846326,0.0000531166,0.000220221,0.00001558755,0.0006265653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04053782,"threshold_uncertainty_score":0.9619741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672936189223473,"score_gpt":0.3140706805581933,"score_spread":0.2973413186659585,"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."}}