{"id":"W2951134706","doi":"10.1080/13561820.2019.1623764","title":"Enhancing interprofessionalism in shared decision-making training within homecare settings: a short report","year":2019,"lang":"en","type":"article","venue":"Journal of Interprofessional Care","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Ottawa Hospital; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université Laval","funders":"Canadian Frailty Network; Ministère de la Santé; Government of Canada","keywords":"Health care; Training (meteorology); Health professionals; Medical education; Decision aids; Medicine; Psychology; Knowledge management; Computer science; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01333989,0.0008380318,0.0005517856,0.0006852373,0.001211657,0.001336644,0.001007109,0.001094207,0.003191735],"category_scores_gemma":[0.01642533,0.0004761043,0.0009282898,0.0006224034,0.0005509665,0.001501718,0.002891168,0.001584587,0.0006009312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226773,"about_ca_system_score_gemma":0.005687366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319408,"about_ca_topic_score_gemma":0.003067439,"domain_scores_codex":[0.9915376,0.005428821,0.0009277181,0.0003143485,0.001154535,0.0006369093],"domain_scores_gemma":[0.985584,0.007857674,0.001211056,0.0007718637,0.002550362,0.002025047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001731128,0.0157926,0.007898033,0.006210439,0.0001916962,0.0003454201,0.008617428,0.0004920502,0.006068304,0.0008272178,0.00819223,0.9436334],"study_design_scores_gemma":[0.007343677,0.2724136,0.2242337,0.02030573,0.002104641,0.002291382,0.04736019,0.003949126,0.07673837,0.004538566,0.3381014,0.0006195352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454155,0.03281355,0.03803444,0.01165146,0.003664793,0.04570915,0.001025542,0.0007254893,0.02096007],"genre_scores_gemma":[0.7465565,0.04498525,0.1495976,0.003740628,0.001618059,0.0420154,0.001494844,0.0001622903,0.009829512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333989,"threshold_uncertainty_score":0.07054895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08596981818751817,"score_gpt":0.4465976481272401,"score_spread":0.360627829939722,"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."}}