{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002852433,0.0004943309,0.001267065,0.001114076,0.0006416898,0.0000362681,0.001456927,0.000661062,0.001233933],"category_scores_gemma":[0.005001873,0.0003985295,0.0004244514,0.0007452919,0.00007965812,0.0009686268,0.001089699,0.004857023,0.0001120431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923734,"about_ca_system_score_gemma":0.004343105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008468662,"about_ca_topic_score_gemma":0.0008409414,"domain_scores_codex":[0.9898145,0.002121686,0.004891107,0.0006325812,0.001650266,0.0008898827],"domain_scores_gemma":[0.9878854,0.005454392,0.002961072,0.001107896,0.002236241,0.0003550683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.004550639,0.0001396921,0.6317691,0.001639383,0.000115779,0.0008575736,0.3455822,0.000205556,0.002944168,0.0003066768,0.002785439,0.009103828],"study_design_scores_gemma":[0.002039814,0.0003946795,0.06978361,0.1182222,0.00004038791,0.0005379001,0.8042974,0.0004511203,0.0001594745,0.001931679,0.001491777,0.0006500082],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789937,0.003150264,0.000406176,0.001456209,0.01209984,0.001358075,0.00006584162,0.00007305458,0.002396857],"genre_scores_gemma":[0.9795095,0.00001594733,0.01669217,0.002566193,0.0005395873,0.0001259029,0.00009524739,0.0001065215,0.0003488672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5619855,"threshold_uncertainty_score":0.9998466,"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."}}