{"id":"W1562278599","doi":"10.22230/jripe.2010v1n2a13","title":"See It – Do It – Learn It: Learning Interprofessional Collaboration in the Clinical Context","year":2010,"lang":"en","type":"article","venue":"Journal of Research in Interprofessional Practice and Education","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Health Canada","keywords":"Interprofessional education; Context (archaeology); Medicine; Intervention (counseling); Descriptive statistics; Test (biology); Licensure; Qualitative property; Health care; Scale (ratio); Medical education; Nursing; Psychology; Family medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.006443745,0.0004582593,0.0003122322,0.0006421945,0.001453963,0.002428344,0.001289381,0.0008459883,0.002134368],"category_scores_gemma":[0.007748341,0.0002120632,0.0003135477,0.000530212,0.002279846,0.002107885,0.005029206,0.001518641,0.0004277106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001315603,"about_ca_system_score_gemma":0.005674265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005601998,"about_ca_topic_score_gemma":0.001964014,"domain_scores_codex":[0.9958728,0.002606422,0.0001262403,0.0002611004,0.0006239085,0.0005095972],"domain_scores_gemma":[0.993909,0.00204935,0.0006457467,0.0002509892,0.0002623035,0.002882647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004398314,0.01522129,0.05349265,0.002021212,0.00007977526,0.0005159421,0.06084425,0.001318482,0.005601266,0.003489388,0.006367867,0.8506081],"study_design_scores_gemma":[0.001888037,0.05063814,0.4037899,0.007376173,0.0004054514,0.005862073,0.3297824,0.007342085,0.02945344,0.05384821,0.1092628,0.0003512294],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616981,0.001403759,0.01784169,0.005165033,0.0001063423,0.001216035,0.00003678998,0.0001317902,0.01240034],"genre_scores_gemma":[0.9551683,0.001701326,0.03993668,0.0006956004,0.00006298488,0.001225562,0.00005830957,0.00001270892,0.001138482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006443745,"threshold_uncertainty_score":0.03407818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381268851712808,"score_gpt":0.6333873935870242,"score_spread":0.4952605084157434,"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."}}