{"id":"W2893567264","doi":"10.5430/jnep.v9n1p132","title":"Educating undergraduate general nursing students to conduct Mental State Assessments using high fidelity video simulations that develops learning in the affective domain","year":2018,"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":"","funders":"","keywords":"Practicum; Competence (human resources); Feeling; Psychology; Mental health; Cognition; Emotional competence; Medical education; Fidelity; Nurse education; Nursing; Applied psychology; Medicine; Developmental psychology; Pedagogy; Social psychology; Psychotherapist; Psychiatry; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001028129,0.0003710581,0.0002107373,0.0002486859,0.0003219272,0.0006285332,0.0004079807,0.0005443307,0.004049397],"category_scores_gemma":[0.002865223,0.0002062307,0.0002549225,0.0001386648,0.0003216701,0.0002737426,0.0009388765,0.0006867841,0.001502798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542594,"about_ca_system_score_gemma":0.001426762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010641,"about_ca_topic_score_gemma":0.004343982,"domain_scores_codex":[0.9997504,0.00008051212,0.0000121506,0.00002516517,0.00004812695,0.00008358788],"domain_scores_gemma":[0.9989679,0.0002058413,0.0001011742,0.00007492682,0.0001324554,0.0005176903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001175082,0.03367982,0.2189265,0.0008900195,0.00006356764,0.001788283,0.01681646,0.005017085,0.06004402,0.0009203214,0.01451633,0.6461626],"study_design_scores_gemma":[0.001085544,0.06012162,0.679805,0.001196168,0.0001667029,0.008052077,0.03126746,0.0170346,0.05896284,0.005629456,0.1364082,0.0002702478],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925208,0.0001285563,0.003298271,0.000372948,0.00004653759,0.0003663489,0.0000414466,0.00009079617,0.00313433],"genre_scores_gemma":[0.970506,0.0009236081,0.02006787,0.0006981856,0.00005060209,0.000530553,0.0002052974,0.00001623311,0.007001793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004049397,"threshold_uncertainty_score":0.01354659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1821969140145072,"score_gpt":0.5616039296771917,"score_spread":0.3794070156626845,"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."}}