{"id":"W2100883150","doi":"10.3109/0142159x.2014.923558","title":"Twelve tips for a successful interprofessional team-based high-fidelity simulation education session","year":2014,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Session (web analytics); Interprofessional education; Experiential learning; Medical education; Computer science; Fidelity; Psychology; Medicine; Pedagogy; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00278042,0.0002571112,0.000348768,0.0001833958,0.0009354384,0.00002085806,0.0003359129,0.0006867258,0.01235753],"category_scores_gemma":[0.005056022,0.0001995837,0.0001146709,0.000318006,0.00009383854,0.0002385561,0.00009067022,0.001031126,0.0004738029],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004179812,"about_ca_system_score_gemma":0.005942907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003140462,"about_ca_topic_score_gemma":0.0002361379,"domain_scores_codex":[0.9956095,0.001544008,0.0009363308,0.0005085191,0.0009233604,0.0004782394],"domain_scores_gemma":[0.9966791,0.001197903,0.0004205496,0.0004219192,0.0008591483,0.0004213612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003586157,0.003692123,0.2291661,0.001171722,0.00007811037,6.937097e-7,0.005978181,0.0004602257,0.0006507989,0.03894524,0.5628135,0.1534572],"study_design_scores_gemma":[0.004457304,0.0002918476,0.03574312,0.003063801,0.00007500825,0.000001015001,0.005671081,0.5248231,0.000113154,0.0169269,0.4081329,0.0007007432],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7617993,0.00004677519,0.1911559,0.02309743,0.00990485,0.002016537,0.00001644807,0.0002887174,0.01167403],"genre_scores_gemma":[0.965029,0.000001452085,0.001951481,0.01001335,0.002507633,0.001223488,0.000648242,0.00004875349,0.01857658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5243629,"threshold_uncertainty_score":0.9996925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847067822875474,"score_gpt":0.4624554556421925,"score_spread":0.4339847774134378,"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."}}