{"id":"W2752908109","doi":"10.1016/j.ecns.2017.07.007","title":"Optimizing Transition to Practice Through Orientation: A Quality Improvement Initiative","year":2017,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"London Health Sciences Centre","keywords":"Summative assessment; Experiential learning; Orientation (vector space); Nursing; Quality (philosophy); Transition (genetics); Quality management; Nursing practice; Psychology; Nurse education; Medical education; Medicine; Pedagogy; Formative assessment; Engineering; Management system","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":[0.03650406,0.0009247961,0.0007289523,0.001609576,0.00148103,0.006021695,0.002974556,0.002096036,0.002602467],"category_scores_gemma":[0.05304328,0.0004077503,0.00109914,0.001907549,0.000932863,0.003002213,0.00480382,0.003579166,0.0005534869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00626646,"about_ca_system_score_gemma":0.04949499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009123382,"about_ca_topic_score_gemma":0.01879847,"domain_scores_codex":[0.9805301,0.0105636,0.001687545,0.0009411265,0.004548726,0.00172894],"domain_scores_gemma":[0.9191025,0.01658268,0.01287575,0.005121462,0.02037384,0.02594382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007157038,0.008417256,0.1123708,0.0009752503,0.0003194484,0.00007021749,0.00208745,0.005900746,0.002686824,0.003471503,0.01734224,0.8456425],"study_design_scores_gemma":[0.005372648,0.02829593,0.6827968,0.003855061,0.002001246,0.001180936,0.02056194,0.07258808,0.02854181,0.02251128,0.1316892,0.0006051122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.697844,0.005372602,0.1057529,0.156743,0.002203935,0.003805203,0.0007167758,0.003238625,0.02432296],"genre_scores_gemma":[0.7889653,0.003425346,0.1938265,0.008833236,0.0005960558,0.0009446581,0.0009573698,0.0001892019,0.002262283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03650406,"threshold_uncertainty_score":0.1930542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2341930974313932,"score_gpt":0.600744833822258,"score_spread":0.3665517363908648,"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."}}