{"id":"W4392297692","doi":"10.1097/ncm.0000000000000717","title":"Virtual Interprofessional Education","year":2024,"lang":"en","type":"article","venue":"Professional Case Management","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Interprofessional education; Discharge planning; Medical education; Patient discharge; Computer science; MEDLINE; Nursing; Medicine; Health care; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0025022,0.0004255875,0.0002547136,0.0005917608,0.000818761,0.001887305,0.00112895,0.0005550806,0.01219884],"category_scores_gemma":[0.008459003,0.0001232814,0.0005104617,0.0003362508,0.0005110182,0.001119129,0.00567484,0.0009171679,0.001534559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007522714,"about_ca_system_score_gemma":0.002895731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003457837,"about_ca_topic_score_gemma":0.0006425881,"domain_scores_codex":[0.9966028,0.001871836,0.0001846493,0.0002232862,0.0007484177,0.0003689586],"domain_scores_gemma":[0.992592,0.002141793,0.0006593376,0.0006261569,0.0009301901,0.003050644],"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":[0.0007788257,0.009509807,0.03680524,0.001750397,0.0001867877,0.000511579,0.003451469,0.0042081,0.002402418,0.006679952,0.01182441,0.9218911],"study_design_scores_gemma":[0.003012793,0.03992277,0.2477503,0.01012555,0.0008037242,0.01473166,0.02661239,0.03359241,0.01816516,0.05520527,0.5496349,0.0004430331],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8117327,0.00780375,0.04065242,0.006154165,0.0009937692,0.001280179,0.0003618045,0.0008166492,0.1302045],"genre_scores_gemma":[0.9726878,0.001417675,0.01665379,0.001999505,0.0001247246,0.0006335997,0.0002779899,0.00002267945,0.006182289],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01219884,"threshold_uncertainty_score":0.04080915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263876011246896,"score_gpt":0.4574293646308755,"score_spread":0.4347906045184065,"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."}}