{"id":"W1553770149","doi":"","title":"Piloting a Simulation-Based Learning Package for Nurses as a Means to Improving Pre-Code Management of Hospitalized Patients","year":2007,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Code (set theory); Computer science; Medicine; Psychology; Software engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.004608211,0.001224373,0.0006485939,0.0006701301,0.0008570139,0.0008094145,0.001679489,0.001296388,0.007460919],"category_scores_gemma":[0.02261481,0.0005041281,0.0007082408,0.0002964095,0.0004164361,0.001065116,0.001371434,0.001498409,0.001522939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930846,"about_ca_system_score_gemma":0.003483921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278971,"about_ca_topic_score_gemma":0.0024253,"domain_scores_codex":[0.9984302,0.0009782211,0.0001181293,0.0001367021,0.0001759939,0.0001607506],"domain_scores_gemma":[0.9863478,0.0069305,0.0007940119,0.001083394,0.001319634,0.003524591],"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":[0.01591045,0.2176104,0.02960293,0.0007373816,0.0001579348,0.0009257105,0.00772854,0.02210266,0.01069152,0.0007745592,0.01867459,0.6750832],"study_design_scores_gemma":[0.04020252,0.4744012,0.145687,0.001595606,0.0009255875,0.00209501,0.009859146,0.2172146,0.05284152,0.00509289,0.04891607,0.001168867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957958,0.00007863843,0.02694342,0.002114989,0.0004159259,0.006005358,0.0002411443,0.002350852,0.003891762],"genre_scores_gemma":[0.8934063,0.0002379435,0.09597879,0.0007389815,0.0001671546,0.00516209,0.0004388872,0.0001042241,0.003765649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007460919,"threshold_uncertainty_score":0.02495927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01731823112456165,"score_gpt":0.3262547021319231,"score_spread":0.3089364710073615,"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."}}