{"id":"W4328048534","doi":"10.1111/hex.13742","title":"Development of the Engage with Impact Toolkit: A comprehensive resource to support the evaluation of patient, family and caregiver engagement in health systems","year":2023,"lang":"en","type":"article","venue":"Health Expectations","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario; Ministry of Health and Long Term Care; Ministry of Health; Canadian Institutes of Health Research; McMaster University; Canadian Patient Safety Institute; CARE Canada; Government of Canada; Impact","funders":"Strong; Government of Ontario","keywords":"Multidisciplinary approach; Resource (disambiguation); Psychology; Equity (law); Knowledge management; Scope (computer science); Set (abstract data type); Conceptual framework; Medical education; Computer science; Medicine; Sociology; Political science","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":[0.1046141,0.002063125,0.002173831,0.01049579,0.002035894,0.007564597,0.003857692,0.001666386,0.02467606],"category_scores_gemma":[0.1812747,0.001834205,0.003602497,0.008097433,0.002266407,0.007544002,0.01780346,0.003066662,0.005493425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006835411,"about_ca_system_score_gemma":0.0198238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519013,"about_ca_topic_score_gemma":0.007309979,"domain_scores_codex":[0.903734,0.06388099,0.01196336,0.001786532,0.0167632,0.001871876],"domain_scores_gemma":[0.7815664,0.1600316,0.009472397,0.01747758,0.02447418,0.006977797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009536291,0.001042367,0.01406262,0.01673247,0.0004962777,0.0004905841,0.01825657,0.006138053,0.001923477,0.01433969,0.1613618,0.7642025],"study_design_scores_gemma":[0.002703635,0.003043844,0.07219367,0.03418298,0.001085135,0.001244916,0.02360807,0.01498034,0.009127057,0.08593572,0.7507033,0.001191381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09194013,0.005312054,0.4757467,0.01916705,0.001148604,0.1019813,0.08367532,0.05743091,0.163598],"genre_scores_gemma":[0.1121071,0.003463227,0.7305723,0.001510038,0.000169254,0.1128519,0.02643918,0.004882088,0.008004945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1046141,"threshold_uncertainty_score":0.553259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3792457781243713,"score_gpt":0.4856495084031743,"score_spread":0.106403730278803,"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."}}