{"id":"W61634836","doi":"","title":"Mercy in action. Philippine birth center statistics.","year":2004,"lang":"en","type":"article","venue":"PubMed","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Obstetrics; Fetal distress; Childbirth; Pregnancy; Home birth; Poverty; Infant mortality; Family medicine; Population; Nursing; Demography; Fetus; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009719845,0.001158247,0.0006327797,0.0106292,0.000592162,0.001243607,0.001672046,0.0006487101,0.05309158],"category_scores_gemma":[0.005400398,0.0005776401,0.0005071177,0.01680476,0.0003500936,0.001110858,0.001392502,0.001482381,0.01751829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002336954,"about_ca_system_score_gemma":0.004442279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1305937,"about_ca_topic_score_gemma":0.08176631,"domain_scores_codex":[0.9992045,0.0001725999,0.0001876666,0.0001003314,0.0002375122,0.0000974287],"domain_scores_gemma":[0.9909083,0.001026429,0.003040032,0.0003203856,0.003363271,0.001341587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001996027,0.00003304801,0.01816703,0.003149736,0.00007100836,0.0001520852,0.0001819344,0.0001467083,0.0000644054,0.0004668666,0.9368485,0.040519],"study_design_scores_gemma":[0.0002345589,0.0001355485,0.3107542,0.003918957,0.0001204795,0.0003663178,0.00090157,0.0005865528,0.0001779693,0.0004690177,0.6822687,0.00006619613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004668764,0.02118221,0.0001526564,0.003555363,0.0008367787,0.0001804069,0.9543004,0.0009903659,0.01413296],"genre_scores_gemma":[0.03732829,0.02964118,0.001948583,0.002173172,0.0009579763,0.001301534,0.9040094,0.0003478492,0.02229195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1305937,"threshold_uncertainty_score":0.2596671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750455293384628,"score_gpt":0.2735883007438075,"score_spread":0.2460837478099612,"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."}}