{"id":"W2593099369","doi":"","title":"Simulation Pre-Briefing: Supporting Competency and Judgment Development in Nursing Learning","year":2017,"lang":"en","type":"article","venue":"Sigma Theta Tau International's 28th International Nursing Research Congress","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Psychology; Computer science; Medical education; Nursing; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002533185,0.0003077263,0.0003777215,0.001186552,0.00115912,0.0007140348,0.0007847177,0.0001900451,0.0004492688],"category_scores_gemma":[0.003836866,0.0003301847,0.00009156439,0.0001958303,0.0006135887,0.0007635508,0.000185376,0.001112638,0.00003334092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534974,"about_ca_system_score_gemma":0.0008894367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222389,"about_ca_topic_score_gemma":0.00003169382,"domain_scores_codex":[0.994847,0.0002809056,0.001051278,0.0008503507,0.002245022,0.0007254669],"domain_scores_gemma":[0.9944946,0.001317997,0.0006228937,0.0005841744,0.002657165,0.0003231952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009236116,0.0008957757,0.7912059,0.0001243699,0.0001702432,0.00007714495,0.0128504,0.02773264,0.0008087403,0.01248221,0.0004806168,0.1522484],"study_design_scores_gemma":[0.003142276,0.000178018,0.7205634,0.007338624,0.00002711561,0.00006452658,0.002912567,0.2513626,0.001546649,0.00844038,0.003973859,0.0004499534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275314,0.0002607614,0.001329622,0.03454018,0.004209908,0.001246805,0.00001526525,0.0001232146,0.03074283],"genre_scores_gemma":[0.9923573,0.0000407801,0.002152506,0.000141995,0.0006609448,0.0001107433,0.0002650437,0.00006538047,0.004205301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22363,"threshold_uncertainty_score":0.999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09132795517677618,"score_gpt":0.5088539370813135,"score_spread":0.4175259819045374,"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."}}