{"id":"W4229443115","doi":"10.1017/s0714980822000058","title":"Multimorbidity Treatment Burden Questionnaire (MTBQ): Translation, Cultural Adaptation, and Validation in French-Canadian","year":2022,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Université de Montréal; Hôpital du Sacré-Cœur de Montréal; Quebec Network for Research on Aging; The Quebec Population Health Research Network","funders":"National Institute for Health and Care Research; Réseau Québécois de Recherche sur les Médicaments","keywords":"Cronbach's alpha; Debriefing; Interquartile range; Medicine; Reliability (semiconductor); Psychological intervention; Polypharmacy; Population; Gerontology; Clinical psychology; Psychometrics; Physical therapy; Psychology; Psychiatry; Internal medicine; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.007941243,0.0004959964,0.0005912136,0.001909951,0.002648043,0.001209051,0.0007932134,0.0003503935,0.00376418],"category_scores_gemma":[0.01268011,0.0002499212,0.001090672,0.003058948,0.0006390053,0.0004734813,0.001112878,0.0008374387,0.0005707744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01289044,"about_ca_system_score_gemma":0.02491516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9079853,"about_ca_topic_score_gemma":0.9301808,"domain_scores_codex":[0.9968201,0.0006896823,0.0002901463,0.0002134579,0.001597174,0.0003893429],"domain_scores_gemma":[0.993884,0.0006921888,0.0006003492,0.0002734952,0.004204354,0.0003454977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003810873,0.0004553859,0.4792744,0.001519906,0.0003297624,0.0003063402,0.00906564,0.0007914383,0.001910371,0.003628587,0.05794838,0.4443887],"study_design_scores_gemma":[0.00006705748,0.00012745,0.9675342,0.0005873223,0.00007775897,0.0002728895,0.001619402,0.0004625588,0.0003354528,0.0002829592,0.02858339,0.00004945131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9015539,0.01248469,0.01296478,0.005940296,0.0006572167,0.003263737,0.02115757,0.0002432083,0.04173466],"genre_scores_gemma":[0.9211261,0.008783823,0.03796104,0.001616594,0.0001368252,0.003975071,0.01733638,0.0001421539,0.008922012],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09201473,"threshold_uncertainty_score":0.1851132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03514308837699816,"score_gpt":0.26338890212501,"score_spread":0.2282458137480119,"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."}}