{"id":"W4308398795","doi":"10.1007/s12630-022-02342-w","title":"Patient and family engagement in patient care and research in Canadian intensive care units: a national survey","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centrale des Syndicats du Québec; Impact; St. Joseph's Hospital; Juravinski Hospital; McMaster University; Muscular Dystrophy Canada; Hamilton Health Sciences; University of Toronto; Concordia University; St. Michael's Hospital","funders":"Groupe canadien de recherche en soins intensifs","keywords":"Facilitator; Stakeholder engagement; Medicine; Intensive care; Interquartile range; Likert scale; Nursing; Community engagement; Scale (ratio); Public engagement; Family medicine; Psychology; Intensive care medicine; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002576483,0.0003206395,0.0005478199,0.002042887,0.005022074,0.001918767,0.002235641,0.001472903,0.002520013],"category_scores_gemma":[0.00996706,0.0007131922,0.0009925705,0.005078948,0.001189166,0.0012496,0.002604189,0.002378929,0.0002769315],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03520395,"about_ca_system_score_gemma":0.04881531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9837588,"about_ca_topic_score_gemma":0.9906595,"domain_scores_codex":[0.995212,0.0005620317,0.0004904237,0.0003700862,0.001797301,0.001568223],"domain_scores_gemma":[0.986562,0.0008599641,0.002964489,0.0003172414,0.004213141,0.005083094],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004370445,0.0001312935,0.99151,0.00004166281,0.00005884561,0.00004588271,0.003395429,0.00003963273,0.00005459656,0.00008276573,0.002240994,0.002355071],"study_design_scores_gemma":[0.000003786091,0.0000196455,0.9952338,0.00003193773,0.00001013746,0.00002270739,0.003744878,0.00005784384,0.00001114891,0.000009490995,0.0008409626,0.0000136594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988958,0.0006924562,0.00007863355,0.002167328,0.00003100586,0.0001006009,0.004218861,0.000008127636,0.003744884],"genre_scores_gemma":[0.9944911,0.000901673,0.0002981019,0.001192197,0.00001749194,0.00008727126,0.001920081,0.000008120479,0.001083793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974235,"threshold_uncertainty_score":0.2554237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1074460671866722,"score_gpt":0.3476334464636438,"score_spread":0.2401873792769716,"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."}}