{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004211855,0.0008596887,0.0002601669,0.0003666291,0.001686928,0.002506706,0.001199406,0.002272869,0.0095066],"category_scores_gemma":[0.01955875,0.000335452,0.000590333,0.0001916656,0.0008833143,0.002296238,0.005559312,0.002573591,0.001983059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008600325,"about_ca_system_score_gemma":0.002957004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000673842,"about_ca_topic_score_gemma":0.002104711,"domain_scores_codex":[0.9974082,0.00196629,0.00006246241,0.0001021632,0.0002718034,0.0001891187],"domain_scores_gemma":[0.9924021,0.003702984,0.0003028314,0.0005256839,0.0003530685,0.002713377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00175445,0.01372492,0.03550759,0.0008247081,0.0001515578,0.002976434,0.02833855,0.04003087,0.0060633,0.01812944,0.09470908,0.757789],"study_design_scores_gemma":[0.002366832,0.01975038,0.0496425,0.005756664,0.0003745138,0.01469627,0.08447601,0.2369384,0.02017503,0.2326093,0.3321446,0.001069499],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.641381,0.001575819,0.1732219,0.04681347,0.001613686,0.001298145,0.0003426271,0.00288031,0.1308732],"genre_scores_gemma":[0.8911963,0.001289646,0.09504338,0.0026268,0.0002197371,0.0008095924,0.0002613293,0.0001330943,0.008420136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0095066,"threshold_uncertainty_score":0.03180277,"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."}}