{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00337664,0.00004270755,0.0001265446,0.000179423,0.001406252,0.00009171412,0.0002274539,0.00004926088,0.0001160068],"category_scores_gemma":[0.002364153,0.00002972633,0.00001332843,0.000149104,0.0001634244,0.0006331668,0.00002916435,0.0002989948,0.000005079006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001157663,"about_ca_system_score_gemma":0.004379757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002054594,"about_ca_topic_score_gemma":0.0002935751,"domain_scores_codex":[0.9982925,0.000303599,0.0005151813,0.00008349592,0.0006731483,0.0001320895],"domain_scores_gemma":[0.998432,0.0002006237,0.0008575174,0.00006743482,0.0002993593,0.0001430984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006311706,0.0000623993,0.5733302,0.0001384868,0.000005794381,0.000009460553,0.05616806,0.00002332134,0.00005081774,0.01378111,0.07647639,0.2798909],"study_design_scores_gemma":[0.001944921,0.0001161932,0.5333674,0.001457757,0.000004553081,0.00001687132,0.277076,0.00609477,0.00001526898,0.001475326,0.1783153,0.0001156257],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4420555,0.00546426,0.0004993159,0.5433075,0.005746465,0.0001622507,0.000002073232,0.000006682667,0.002755901],"genre_scores_gemma":[0.9944386,0.0009176854,0.000449283,0.003502761,0.0005573268,0.000003313168,0.000001005559,0.000002124935,0.0001278263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5523832,"threshold_uncertainty_score":0.9998938,"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."}}