{"id":"W4298008099","doi":"10.14740/jocmr4756","title":"A Newly Developed Interprofessional <i>In-Situ</i> Simulation-Based Training for Airway Management of COVID-19 Patients: Identification of Challenges and Safety Gaps, and Assessment of the Participants’ Reaction","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Medicine Research","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Debriefing; Health care; Intubation; Airway management; Patient safety; Medical emergency; Nursing; Medical education; Surgery","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":[0.00193774,0.0004365262,0.0002268201,0.0003016102,0.0004600558,0.0003760441,0.0007527834,0.0005103165,0.002720425],"category_scores_gemma":[0.003489065,0.0002663331,0.000311687,0.0001228226,0.0003346296,0.0003419814,0.001684617,0.0007485,0.0004392151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337337,"about_ca_system_score_gemma":0.002026209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004911225,"about_ca_topic_score_gemma":0.001653536,"domain_scores_codex":[0.9990366,0.0004722272,0.00006793372,0.000129939,0.0001344463,0.0001589525],"domain_scores_gemma":[0.9972356,0.0006470092,0.0002446912,0.0001726177,0.0003841141,0.001316046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00336973,0.05111238,0.1297456,0.002611381,0.0001526233,0.003131031,0.03907272,0.009327958,0.1400272,0.0006421773,0.006965083,0.6138423],"study_design_scores_gemma":[0.003430674,0.1464608,0.6308478,0.001565119,0.0004632139,0.007934983,0.03692421,0.02669271,0.06344967,0.001101121,0.08068044,0.0004493122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875398,0.00007040733,0.007956404,0.0003064007,0.00008668471,0.001291494,0.00007648629,0.0001351444,0.002537323],"genre_scores_gemma":[0.9345078,0.0001938246,0.06023636,0.000444202,0.0000808385,0.001935849,0.000263465,0.00001806746,0.002319362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002720425,"threshold_uncertainty_score":0.01024789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4924469449310463,"score_gpt":0.613662130893668,"score_spread":0.1212151859626216,"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."}}