{"id":"W2929586041","doi":"10.1177/2050312119841467","title":"Profiling mental health professionals in relation to perceived interprofessional collaboration on teams","year":2019,"lang":"en","type":"article","venue":"SAGE Open Medicine","topic":"Interprofessional Education and Collaboration","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; University of Ottawa; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; Profiling (computer programming); Mental health; Interprofessional education; Health professionals; Nursing; Health care; Family medicine; Medical education; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002836698,0.0002030743,0.0001914556,0.001479979,0.00231836,0.00191301,0.0003893629,0.0005862642,0.002011476],"category_scores_gemma":[0.01461903,0.0001754976,0.0002223682,0.0007771942,0.0007816796,0.0006936784,0.003217827,0.0005271112,0.000243276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072301,"about_ca_system_score_gemma":0.003686842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716008,"about_ca_topic_score_gemma":0.03113432,"domain_scores_codex":[0.9959826,0.001636734,0.0003254871,0.0002518384,0.0009722951,0.0008310851],"domain_scores_gemma":[0.989643,0.00220946,0.002764684,0.0002698463,0.002331372,0.002781496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001598799,0.0001190818,0.9500608,0.00006258795,0.00003751459,0.0001434463,0.0336694,0.00009608298,0.0008115182,0.00007884396,0.0003974182,0.01436337],"study_design_scores_gemma":[0.00001550326,0.0002027648,0.8957747,0.0001013088,0.00001592083,0.0003406879,0.1013412,0.0006401955,0.0002870511,0.0001801935,0.001081242,0.00001929734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990634,0.00005429648,0.000148092,0.0001161889,0.000004164268,0.00001866931,0.0000229893,0.000001748116,0.0005704499],"genre_scores_gemma":[0.9995461,0.00004146052,0.0001598106,0.00002909821,0.000003521392,0.00002141242,0.00004847494,0.000001057062,0.0001489349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01716008,"threshold_uncertainty_score":0.03412038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282586216528567,"score_gpt":0.4823882240690518,"score_spread":0.4541296024161951,"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."}}