{"id":"W2621401089","doi":"10.1016/j.jmir.2017.02.071","title":"Collaboration in Health Care","year":2017,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":313,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Teamwork; Value (mathematics); Health care; Reading (process); Psychology; Knowledge management; Health professionals; Key (lock); Medical education; Nursing; Medicine; Computer science; 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":[0.03579819,0.0004142344,0.0005717218,0.002267594,0.01724478,0.01625359,0.001997359,0.008134917,0.02397914],"category_scores_gemma":[0.05493908,0.0005266688,0.0007696277,0.002353935,0.01229602,0.01288473,0.02169733,0.008244523,0.001690772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01015821,"about_ca_system_score_gemma":0.04397631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007323572,"about_ca_topic_score_gemma":0.008446693,"domain_scores_codex":[0.9325711,0.05121569,0.001918509,0.002479149,0.00453455,0.007281046],"domain_scores_gemma":[0.9169535,0.03987183,0.005465732,0.003568994,0.006258633,0.02788135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001266714,0.0007726212,0.01731274,0.0008097889,0.000132383,0.001438471,0.117501,0.0005568895,0.0002494572,0.5245929,0.1279749,0.2085321],"study_design_scores_gemma":[0.000112388,0.0003677906,0.01439735,0.003562755,0.00006578983,0.001633629,0.2002488,0.0006363899,0.0002867734,0.3689623,0.4096399,0.00008604146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06813525,0.02210839,0.006792428,0.498428,0.004488947,0.000190729,0.00009541423,0.00008101077,0.3996799],"genre_scores_gemma":[0.936612,0.008025906,0.003671261,0.03285774,0.001799036,0.0002988515,0.00008889076,0.00004398855,0.01660239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03579819,"threshold_uncertainty_score":0.1893212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03294174743853977,"score_gpt":0.5301336637786551,"score_spread":0.4971919163401153,"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."}}