{"id":"W4224097343","doi":"10.5430/jnep.v12n8p11","title":"Using critical creativity to support virtual methods of critical reflection for undergraduate and graduate nursing students","year":2022,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Creativity; Reflection (computer programming); Coronavirus disease 2019 (COVID-19); Critical thinking; Narrative; Nurse education; Psychology; Medical education; The arts; Critical reflection; Nursing; Pedagogy; Computer science; Medicine; Visual arts","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01876776,0.0009761094,0.0004872894,0.002187084,0.002784564,0.008969236,0.002664021,0.001566373,0.008334887],"category_scores_gemma":[0.04340754,0.0005361639,0.001004055,0.0008606349,0.005540241,0.005310507,0.01579675,0.003304979,0.002882647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418383,"about_ca_system_score_gemma":0.004747659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218107,"about_ca_topic_score_gemma":0.000680446,"domain_scores_codex":[0.9816207,0.01421133,0.0005869708,0.0009549049,0.001867341,0.0007586461],"domain_scores_gemma":[0.9598305,0.02543684,0.001798942,0.006422253,0.002967104,0.00354434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003624755,0.001626803,0.00497676,0.001364515,0.00005719884,0.0009873357,0.3649058,0.00177935,0.01614716,0.04114431,0.02135352,0.5452948],"study_design_scores_gemma":[0.0005168832,0.002616122,0.00734397,0.00505587,0.000124445,0.004865047,0.2214402,0.01010369,0.03194705,0.1197606,0.595732,0.0004940093],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2790917,0.00152316,0.5831257,0.01311674,0.001708065,0.003727952,0.0002594415,0.003449318,0.1139979],"genre_scores_gemma":[0.5049875,0.001308959,0.4665098,0.002363576,0.0004136206,0.004329522,0.0002155289,0.0008161058,0.01905528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01876776,"threshold_uncertainty_score":0.09925461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4531680528673747,"score_gpt":0.6726004527402436,"score_spread":0.2194323998728689,"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."}}