{"id":"W1998950528","doi":"10.1016/j.ecns.2010.03.053","title":"Learning to Get Along: Interprofessional Simulation for Health Care Providers","year":2010,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Nursing; Core competency; Health care; Interprofessional education; Dissemination; Medicine; Medical education; Computer science; Business; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001965172,0.0001934655,0.0003736088,0.0002758547,0.0009596231,0.00002987727,0.0001654925,0.0004366084,0.0002712946],"category_scores_gemma":[0.004301372,0.0001861573,0.000117408,0.0004468779,0.00006796368,0.0002980874,0.00004442943,0.001562156,0.0001269776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501418,"about_ca_system_score_gemma":0.002098645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005199689,"about_ca_topic_score_gemma":0.0004939922,"domain_scores_codex":[0.9959358,0.000963563,0.00175776,0.0005242592,0.0003075349,0.0005110934],"domain_scores_gemma":[0.992869,0.005230402,0.0005693909,0.0002555459,0.0007776509,0.0002980452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004600285,0.0004681327,0.2614528,0.0002388671,0.00001433237,4.635059e-7,0.06914075,0.4319458,0.0001737647,0.003386237,0.004402028,0.2241765],"study_design_scores_gemma":[0.005007977,0.0007057256,0.2824112,0.002565136,0.00001759635,2.249099e-7,0.03632068,0.6132527,0.000008780108,0.002926397,0.05629915,0.0004843892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303579,0.0000260178,0.03591558,0.01676478,0.01163537,0.003790934,0.00001496636,0.0001587437,0.001335726],"genre_scores_gemma":[0.9834241,9.282487e-7,0.007893741,0.00580424,0.001297811,0.0003278128,0.000241161,0.00004470539,0.0009655596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2236921,"threshold_uncertainty_score":0.7591275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06423258900119831,"score_gpt":0.5911327882656395,"score_spread":0.5269001992644412,"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."}}