{"id":"W3011494909","doi":"10.2196/17363","title":"Learning Integrated Health System to Mobilize Context-Adapted Knowledge With a Wiki Platform to Improve the Transitions of Frail Seniors From Hospitals and Emergency Departments to the Community (LEARNING WISDOM): Protocol for a Mixed-Methods Implementation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Frailty in Older Adults","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Schwartz/Reisman Emergency Medicine Institute; Mount Sinai Hospital; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centres Intégré Universitaires de Santé et de Services Sociaux; Sinai Health System; Sante Montreal; University of Toronto; Université de Sherbrooke; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Canadian Respiratory Research Network; Hôpital du Saint-Sacrement; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; University Health Network; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; Institut National d'Excellence en Santé et en Services Sociaux; Université de Montréal; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Emergency department; Health care; Focus group; Nursing; Suite; Medicine; Psychology; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04153018,0.003578542,0.004374268,0.003030479,0.005309168,0.003512243,0.004274239,0.005712655,0.03740991],"category_scores_gemma":[0.03553434,0.002388452,0.005367304,0.002369827,0.003393202,0.003069174,0.003968672,0.006041972,0.00578336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008569711,"about_ca_system_score_gemma":0.03578156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00681803,"about_ca_topic_score_gemma":0.008363317,"domain_scores_codex":[0.9780512,0.01168915,0.003636211,0.001979779,0.002371289,0.002272404],"domain_scores_gemma":[0.9822778,0.004913843,0.002294007,0.002749224,0.005752367,0.002012704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.1865748,0.1404744,0.007170338,0.1033317,0.002952366,0.002003585,0.02038422,0.009485194,0.007117815,0.01911623,0.04807326,0.4533162],"study_design_scores_gemma":[0.5338738,0.1201768,0.02286685,0.04337022,0.003041883,0.0003401882,0.01073157,0.005498091,0.01236463,0.01647413,0.2303784,0.0008834042],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002488512,0.00006364402,0.001364276,0.00008878916,0.00005682213,0.9948716,0.0005091597,0.00003066342,0.000526535],"genre_scores_gemma":[0.001001717,0.00003757795,0.002310439,0.00004449107,0.00000436499,0.9964365,0.0000491984,0.000001608954,0.0001141941],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04153018,"threshold_uncertainty_score":0.2196352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825868878298685,"score_gpt":0.5613626659483112,"score_spread":0.3787757781184427,"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."}}