{"id":"W2021251545","doi":"10.3182/20070904-3-kr-2922.00063","title":"PROCESS DESIGN FOR MULTIDISCIPLINARY PATIENT CARE MEETINGS: CONSIDERING THE HUMAN FACTOR","year":2007,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multidisciplinary approach; Process (computing); Health care; Information exchange; Knowledge management; Health professionals; Process management; Medical education; Nursing; Medicine; Computer science; Engineering; Sociology; 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":[0.03732528,0.001223037,0.001138435,0.002089831,0.00269747,0.01000716,0.003024966,0.002772104,0.007371371],"category_scores_gemma":[0.1201548,0.001193641,0.001180802,0.00123386,0.002551998,0.007393759,0.00294767,0.002127912,0.0009032596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004233219,"about_ca_system_score_gemma":0.01110911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009059672,"about_ca_topic_score_gemma":0.01048439,"domain_scores_codex":[0.9523494,0.03567417,0.001786223,0.00209018,0.006929493,0.001170474],"domain_scores_gemma":[0.821633,0.1548562,0.004761102,0.003158859,0.01337214,0.002218664],"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":[0.001527001,0.001773951,0.02422879,0.003697418,0.0005058697,0.0007483124,0.0188024,0.2202586,0.01145776,0.1090298,0.004943811,0.6030263],"study_design_scores_gemma":[0.0007620459,0.002293458,0.007646376,0.001133846,0.0004246888,0.0004327015,0.01054524,0.8039708,0.00935661,0.1354154,0.0277538,0.0002650838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03652425,0.0006474085,0.9509636,0.002821297,0.000158494,0.001315082,0.00005312793,0.0003554712,0.007161206],"genre_scores_gemma":[0.363902,0.0005631082,0.6321046,0.0003723712,0.0001031422,0.001157383,0.00007842293,0.0001551819,0.001563721],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03732528,"threshold_uncertainty_score":0.1973973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08328992962385877,"score_gpt":0.4353230253929669,"score_spread":0.3520330957691081,"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."}}