{"id":"W4390060118","doi":"10.1177/10468781231222969","title":"Virtual 3D Simulation Technology for Interprofessional Team Training","year":2023,"lang":"en","type":"article","venue":"Simulation & Gaming","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; University of Saskatchewan; Simon Fraser University; University of British Columbia","funders":"","keywords":"Usability; Computer science; Medical simulation; Think aloud protocol; Human–computer interaction; Multimedia; Simulation","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":[0.001253512,0.0006299907,0.0002766945,0.0008253626,0.0004798897,0.001595929,0.001301718,0.0008979056,0.01357829],"category_scores_gemma":[0.003267845,0.0003869929,0.0008689869,0.0004856483,0.0005636254,0.001121894,0.002913512,0.000728662,0.002055753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537078,"about_ca_system_score_gemma":0.0007014364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007068053,"about_ca_topic_score_gemma":0.0005642408,"domain_scores_codex":[0.9985787,0.0007585169,0.00008244973,0.00008887929,0.0004176045,0.00007381575],"domain_scores_gemma":[0.9985374,0.0007439108,0.00005385831,0.0002839678,0.0002056263,0.0001753646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007267288,0.0005573019,0.00526918,0.001796943,0.0001226524,0.001486947,0.005842497,0.07552641,0.06860417,0.05130335,0.03755719,0.7512067],"study_design_scores_gemma":[0.000484622,0.002510378,0.01429721,0.00228325,0.0003251648,0.007244593,0.002662106,0.2117817,0.0600416,0.06622171,0.6315817,0.0005660837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05994408,0.002156701,0.8962189,0.001342935,0.0004410352,0.000643421,0.0005880627,0.005012152,0.03365271],"genre_scores_gemma":[0.4827585,0.002524899,0.5030407,0.0006032743,0.0001242299,0.001414806,0.0008004813,0.0007596943,0.00797337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01357829,"threshold_uncertainty_score":0.04542392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09184279774990933,"score_gpt":0.4406187065591894,"score_spread":0.3487759088092801,"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."}}