{"id":"W2887887582","doi":"10.1002/dmrr.3053","title":"Minimally important difference and predictors of change in quality of life in type 2 diabetes: A community‐based survey in China","year":2018,"lang":"en","type":"article","venue":"Diabetes/Metabolism Research and Reviews","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact; University of Alberta","funders":"","keywords":"Medicine; Quality of life (healthcare); Logistic regression; EQ-5D; Diabetes mellitus; Demography; Demographics; Gerontology; China; Health related quality of life; Internal medicine; Disease","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001712658,0.0002966594,0.0003224608,0.001097222,0.0005505497,0.0005006132,0.0005197547,0.0004366319,0.0007864285],"category_scores_gemma":[0.001881108,0.0003008027,0.0004938372,0.00179557,0.0003737505,0.000456937,0.0004819034,0.0005417495,0.0001013638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009214709,"about_ca_system_score_gemma":0.0009812948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04701219,"about_ca_topic_score_gemma":0.0494271,"domain_scores_codex":[0.9991696,0.0001955825,0.0001338029,0.0001652494,0.0002065493,0.000129293],"domain_scores_gemma":[0.9983582,0.0002383489,0.0005780938,0.000109028,0.0002271861,0.0004891171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001753766,0.00003002941,0.9993752,0.000005368584,0.00001959231,0.00001986762,0.00005682392,0.00002168272,0.00003977298,0.000005833025,0.00004436637,0.0003640213],"study_design_scores_gemma":[0.000003411182,0.00002165441,0.9996499,0.000002015402,0.000005777509,0.00001736819,0.0001042029,0.0001504497,0.00000748612,0.000005459695,0.00003054953,0.000001806534],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999445,0.0000542731,0.00003171287,0.0000392018,0.000002734857,0.00001002531,0.000302625,0.000001077545,0.000113254],"genre_scores_gemma":[0.9994485,0.00004225752,0.00005303713,0.00003056936,0.000004148971,0.00001455811,0.0003427109,5.262319e-7,0.00006360214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04701219,"threshold_uncertainty_score":0.09347707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6565908238965563,"score_gpt":0.4991043165451288,"score_spread":0.1574865073514275,"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."}}