{"id":"W4375951540","doi":"10.1016/j.teln.2023.04.009","title":"Preparing next generation of nurses to care for disaster affected population: A call to action in nursing curriculum","year":2023,"lang":"en","type":"article","venue":"Teaching and learning in nursing","topic":"Disaster Response and Management","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Curriculum; Nursing; Call to action; Inclusion (mineral); Action (physics); Nurse education; Disaster response; Medicine; Quality (philosophy); Population; Health care; Medical education; Psychology; Emergency management; Pedagogy; Political science; Business; Environmental health","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":[0.01185294,0.0005778813,0.0007662384,0.0008550899,0.006457965,0.006571626,0.003691215,0.008736419,0.01646647],"category_scores_gemma":[0.01472724,0.0005077575,0.001059862,0.0004831462,0.002489593,0.004362985,0.0119159,0.01529525,0.003076711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00602776,"about_ca_system_score_gemma":0.09781548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005706584,"about_ca_topic_score_gemma":0.02416648,"domain_scores_codex":[0.9963033,0.0009231198,0.0002477379,0.0003030067,0.00113288,0.00108989],"domain_scores_gemma":[0.9585517,0.003014346,0.001288254,0.0005658891,0.004342209,0.0322376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001193631,0.004567987,0.01354619,0.002397802,0.00003255188,0.002097244,0.01433172,0.0008558349,0.003236485,0.01512749,0.5727049,0.3709825],"study_design_scores_gemma":[0.0001458762,0.0009086494,0.02861894,0.005621507,0.00004426974,0.002426116,0.02998562,0.0009564201,0.001350483,0.01970144,0.9101043,0.0001364343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03023229,0.01168326,0.007976022,0.8729221,0.0360998,0.0009520963,0.0001439112,0.0003781839,0.03961241],"genre_scores_gemma":[0.220926,0.04406677,0.09758199,0.497941,0.01575137,0.002989554,0.0009008169,0.0003006883,0.1195419],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01646647,"threshold_uncertainty_score":0.06268507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07337377551613707,"score_gpt":0.4605191698207796,"score_spread":0.3871453943046426,"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."}}