{"id":"W3190329945","doi":"10.5737/23688653-322513","title":"The influence of simulation in predicting intent to stay, among critical care nurses","year":2021,"lang":"en","type":"article","venue":"The Canadian journal of critical care nursing","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nurses Association","funders":"Health Canada","keywords":"Workforce; Nursing; Incentive; Intervention (counseling); Critical care nursing; Variance (accounting); Multilevel model; Evidence-based practice; Psychology; Attrition; Medicine; Health care; Business; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.003077386,0.0003146461,0.0002259978,0.0004231845,0.0005973285,0.001158562,0.0004570819,0.0006521816,0.002888916],"category_scores_gemma":[0.03351192,0.000191434,0.0005001072,0.000212734,0.000503726,0.0006228731,0.0007813091,0.0006659545,0.000244909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373532,"about_ca_system_score_gemma":0.006289085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03953004,"about_ca_topic_score_gemma":0.05772388,"domain_scores_codex":[0.9984047,0.0009463262,0.00009368343,0.0001132712,0.0002633455,0.0001786905],"domain_scores_gemma":[0.9804623,0.0127846,0.002439891,0.0005307877,0.001224654,0.002557788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004745564,0.0009199156,0.9878818,0.00004303385,0.00004115158,0.00002170026,0.001166604,0.000939129,0.0001631211,0.00008681916,0.0001421611,0.008120081],"study_design_scores_gemma":[0.0000576838,0.002234671,0.9806322,0.0001411965,0.00008403563,0.00006180123,0.002974908,0.01235584,0.0003685032,0.0003308292,0.0007317945,0.00002651703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990276,0.0000504888,0.0002457573,0.0001089921,0.000005501315,0.0000397133,0.00003683828,0.000006778526,0.0004782423],"genre_scores_gemma":[0.9991316,0.00004788959,0.0004447312,0.00002160176,0.000002301714,0.00003948814,0.00006639637,0.000001388575,0.0002446844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03953004,"threshold_uncertainty_score":0.07859987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559422483543188,"score_gpt":0.4704758732451103,"score_spread":0.4348816484096784,"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."}}