{"id":"W4392740042","doi":"10.21203/rs.3.rs-4007189/v1","title":"A low resource simulation-based training package leads to increased knowledge and skill retention post Basic Emergency Obstetric and Neonatal Care in rural Tanzania; A stepped- wedge research design Short Title: BEmONC simulation-based training package leads to skill retention in Tanzania","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Global Affairs Canada; International Development Research Centre; Government of Canada","keywords":"Tanzania; Resource (disambiguation); Training (meteorology); Medicine; Operations management; Engineering; Computer science; Economics; Geography; Socioeconomics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004974034,0.0006977332,0.0006851422,0.0005081541,0.0008242477,0.0007082786,0.001548125,0.0008895501,0.003931127],"category_scores_gemma":[0.007323032,0.0005979058,0.001148856,0.0004045866,0.0009604005,0.0007210929,0.001052662,0.001150372,0.0003471614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173626,"about_ca_system_score_gemma":0.004029128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004682518,"about_ca_topic_score_gemma":0.005169212,"domain_scores_codex":[0.9964336,0.002441927,0.0002190729,0.0002663753,0.0002324306,0.0004065274],"domain_scores_gemma":[0.9960889,0.001994459,0.0007437645,0.0002111491,0.0003504178,0.0006113554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2003991,0.4844531,0.06820594,0.006644758,0.001366955,0.0008129445,0.01298277,0.005968025,0.01917788,0.002084188,0.002952888,0.1949515],"study_design_scores_gemma":[0.04246728,0.8521298,0.08916748,0.0006262365,0.0008482148,0.00005824313,0.003001567,0.004150333,0.005281813,0.0005717511,0.001627769,0.00006956431],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970645,0.00004866199,0.0002146063,0.00006227081,0.00002351563,0.00220915,0.00006639531,0.000009540016,0.0003013177],"genre_scores_gemma":[0.985823,0.0001487929,0.003781327,0.0001677936,0.00002579724,0.009276656,0.0001042071,0.000003896213,0.0006684054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004974034,"threshold_uncertainty_score":0.02630556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07358247478374985,"score_gpt":0.3930257950199692,"score_spread":0.3194433202362194,"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."}}