{"id":"W2808354572","doi":"10.1097/acm.0000000000002313","title":"Untying the Interprofessional Gordian Knot: The National Collaborative for Improving the Clinical Learning Environment","year":2018,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medical Council of Canada","funders":"","keywords":"Accreditation; Interprofessional education; Curriculum; Health care; Medical education; Graduate medical education; Health professions; Medicine; Nursing; Psychology; Political science; Pedagogy","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","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008633893,0.0001950411,0.0002402646,0.00006111422,0.004483405,0.000009671002,0.0006315502,0.0003287849,0.001446717],"category_scores_gemma":[0.00598907,0.0000789852,0.00006010784,0.0003856119,0.0009800361,0.0001269939,0.0002306116,0.002804536,0.0003642574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258234,"about_ca_system_score_gemma":0.002045324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000633797,"about_ca_topic_score_gemma":0.00005547807,"domain_scores_codex":[0.9953778,0.00207759,0.001060279,0.0003504739,0.0007102545,0.0004235812],"domain_scores_gemma":[0.9901677,0.008006461,0.0007264366,0.0002493304,0.000743303,0.0001068165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001145685,0.00003379459,0.02574302,0.00006199756,0.0001326332,3.070309e-7,0.1307539,0.00002326817,0.002400537,0.0690307,0.7548807,0.01579347],"study_design_scores_gemma":[0.001357773,0.0003461157,0.01667353,0.0005050108,0.0000745165,0.000002620814,0.165298,0.005419302,0.00005909176,0.006675072,0.8034188,0.0001702248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1986926,0.001111889,0.01536579,0.7462772,0.01676358,0.006041503,0.0000428579,0.0001246125,0.01558003],"genre_scores_gemma":[0.9169554,0.0001069181,0.0001437781,0.05097972,0.009659863,0.001079023,0.0000514254,0.0000276354,0.0209963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7182627,"threshold_uncertainty_score":0.999496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09864163504593144,"score_gpt":0.5277011041527456,"score_spread":0.4290594691068142,"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."}}