{"id":"W2623629719","doi":"10.5430/jnep.v7n11p7","title":"Identifying clinical and educational difficulties of midwives in an Indonesian government hospital maternity ward: Towards improving childbirth care","year":2017,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Childbirth; Indonesian; Government (linguistics); Nursing; Economic shortage; Quality (philosophy); Medicine; Exploratory research; Qualitative research; Indonesian government; Medical education; Pregnancy; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004379298,0.0003555637,0.0003901469,0.0006024919,0.002789199,0.001832272,0.001005329,0.0009900513,0.002319634],"category_scores_gemma":[0.01385507,0.000428521,0.000285884,0.0005377688,0.001444842,0.001454823,0.003022689,0.001439163,0.0003367632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002503593,"about_ca_system_score_gemma":0.007557434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007824931,"about_ca_topic_score_gemma":0.01352261,"domain_scores_codex":[0.9959484,0.002225482,0.0003593412,0.0002167188,0.000498902,0.0007512261],"domain_scores_gemma":[0.9937914,0.001698501,0.002323451,0.0001435252,0.0008453325,0.001197871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002717873,0.0005202602,0.3731426,0.002279314,0.00004050451,0.01118517,0.4639311,0.0001798648,0.006296652,0.0007575569,0.006735101,0.13466],"study_design_scores_gemma":[0.00002225455,0.0005466501,0.1643341,0.001579538,0.00003087558,0.005091926,0.8122603,0.0002299871,0.0009053034,0.0003937928,0.01453981,0.00006551362],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843866,0.002048847,0.000749721,0.007155283,0.0001684532,0.0001447348,0.00005803788,0.00001966073,0.005268705],"genre_scores_gemma":[0.9911108,0.002721547,0.002518525,0.001763249,0.00005320709,0.0001263695,0.00003857227,0.00001009054,0.001657628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007824931,"threshold_uncertainty_score":0.02316022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767652268561151,"score_gpt":0.4543880809085187,"score_spread":0.3967115582229072,"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."}}