{"id":"W3205753120","doi":"10.1186/s12913-021-07160-2","title":"The impact of multimorbidity level and functional limitations on the accuracy of using self-reported survey data compared to administrative data to measure general practitioner and specialist visits in community-living adults","year":2021,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Public Health Ontario; University of Toronto; Impact; Institute for Clinical Evaluative Sciences; University of Alberta; Women's College Hospital; McMaster University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Cancer Care Ontario","keywords":"Medicine; Health informatics; Context (archaeology); Nursing research; Health services research; Health administration; Public health; Family medicine; Multimorbidity; Cross-sectional study; Gold standard (test); Survey data collection; Gerontology; Chronic disease; Nursing","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":[0.1078791,0.0005600672,0.001066418,0.002639686,0.0009575941,0.003296333,0.00154417,0.00145227,0.0009842147],"category_scores_gemma":[0.2925612,0.0007298426,0.002190806,0.003539055,0.002052771,0.001991664,0.002592028,0.001320295,0.0002695105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917986,"about_ca_system_score_gemma":0.001459558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085268,"about_ca_topic_score_gemma":0.0439811,"domain_scores_codex":[0.8605314,0.1041932,0.01033561,0.007256171,0.0150898,0.002593884],"domain_scores_gemma":[0.6177136,0.2874299,0.04786317,0.02203329,0.02221543,0.002744592],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001767317,0.00001692592,0.9938025,0.00007191343,0.0005026665,0.00001635973,0.0005627209,0.0002013806,0.00005275624,0.00005558857,0.0001255247,0.004414815],"study_design_scores_gemma":[0.00001399283,0.0001399172,0.99629,0.0001976243,0.0002186919,0.0001138461,0.0005559792,0.001677168,0.0002049489,0.0001442615,0.0004245195,0.00001910998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886587,0.003338464,0.002093389,0.001018544,0.0001017758,0.00008469228,0.0009716864,0.0000311814,0.003701399],"genre_scores_gemma":[0.9979747,0.0002636421,0.001046051,0.0001775373,0.00003604118,0.00002916918,0.00032356,0.00001172687,0.0001377014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.892121,"threshold_uncertainty_score":0.5705259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.768084175661974,"score_gpt":0.5733293081771031,"score_spread":0.1947548674848708,"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."}}