{"id":"W2110792519","doi":"10.5430/jha.v5n1p41","title":"A case study: Applying quality improvement methods to reduce pre-operative length of stay in a resource-constrained setting in Rwanda","year":2015,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Schedule; Intervention (counseling); Elective surgery; Quality management; Emergency medicine; Quality (philosophy); Operations management; Surgery; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005175003,0.0001447395,0.0007747422,0.0002143969,0.00002431379,0.00002889286,0.00005982268,0.00006691636,0.000005545361],"category_scores_gemma":[0.001575016,0.0001134997,0.000168086,0.000280738,0.00003869552,0.0001579813,0.00002338567,0.0002992098,3.347775e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147832,"about_ca_system_score_gemma":0.0005155441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240524,"about_ca_topic_score_gemma":0.00009534494,"domain_scores_codex":[0.9974045,0.0005355046,0.001232551,0.0001764653,0.0004780344,0.0001729105],"domain_scores_gemma":[0.9984972,0.0004327162,0.0004368273,0.0001430791,0.0002610043,0.0002292121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.008938238,0.007923254,0.6867452,0.0002297075,0.0005045921,0.02905692,0.1339504,0.0003725642,0.01174598,0.0006064053,0.00006768744,0.1198591],"study_design_scores_gemma":[0.02259459,0.09304436,0.3597588,0.0006585646,0.0004013282,0.00782124,0.4800313,0.0003608605,0.03333525,0.0001493786,0.001131069,0.0007132947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966395,0.00006113833,0.0004393675,0.001138168,0.00009003654,0.001094438,0.000003246837,0.000005220028,0.0005289241],"genre_scores_gemma":[0.9882789,0.000001984803,0.01144668,0.00007863733,0.00009442263,0.0000296805,0.000002046988,0.000009747459,0.00005787226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3460808,"threshold_uncertainty_score":0.4628384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526607418610754,"score_gpt":0.4171824716387166,"score_spread":0.371916397452609,"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."}}