{"id":"W7097346378","doi":"","title":"RESEARCH ARTICLE Beyond the hospital door: w n","year":2016,"lang":"en","type":"article","venue":"","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Private sector; Government (linguistics); Public sector; Metropolitan area; Subsidy; Welfare; Health care; Population; Public 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002135551,0.0005746569,0.0004503334,0.0009534762,0.002896106,0.005610103,0.001613759,0.004253137,0.5432555],"category_scores_gemma":[0.01123035,0.0002827187,0.0006375907,0.0008367721,0.001451675,0.005649891,0.00440188,0.00308282,0.1637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002497491,"about_ca_system_score_gemma":0.007405145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005062853,"about_ca_topic_score_gemma":0.008218496,"domain_scores_codex":[0.99784,0.000756671,0.0001124912,0.0003220581,0.0005649396,0.0004037484],"domain_scores_gemma":[0.9933155,0.001161355,0.0004063445,0.0005195832,0.001701151,0.002896099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001046633,0.0001280172,0.00110538,0.0002897335,0.00001047821,0.0003926283,0.0002787103,0.00004294918,0.00009153548,0.008377699,0.8709258,0.1182524],"study_design_scores_gemma":[0.00002083822,0.00005772277,0.0008514638,0.0006517532,0.000006288037,0.000542659,0.0007493575,0.00003961379,0.0000989474,0.004066661,0.9929036,0.00001102419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004769093,0.01493177,0.002797441,0.1459951,0.04851887,0.0002733629,0.00244941,0.0006874482,0.7795774],"genre_scores_gemma":[0.05894311,0.02020847,0.002998446,0.04376363,0.01999408,0.0003584242,0.002289071,0.0005846228,0.8508602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5432555,"threshold_uncertainty_score":0.6514906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06148031372466139,"score_gpt":0.4262087659299438,"score_spread":0.3647284522052824,"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."}}