{"id":"W2562157799","doi":"","title":"Validation of a Health-Related Quality of Life Measure based on the Minimum Data Set by Mapping and Regression","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Minimum Data Set; Health Utilities Index; Quality of life (healthcare); Set (abstract data type); Gerontology; Data set; Health related quality of life; Medicine; Index (typography); Statistics; Computer science; Mathematics; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02673218,0.0004502549,0.0007925039,0.001774825,0.0006833441,0.001013444,0.001196161,0.0004938342,0.0007974427],"category_scores_gemma":[0.09857599,0.0002648758,0.001120242,0.00154242,0.0005940367,0.001020002,0.001397997,0.001122806,0.0003849948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888376,"about_ca_system_score_gemma":0.001483878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006542884,"about_ca_topic_score_gemma":0.005952517,"domain_scores_codex":[0.9828264,0.01098256,0.001213119,0.0009570785,0.003741925,0.0002789439],"domain_scores_gemma":[0.9266416,0.04907254,0.004838706,0.007240671,0.01168985,0.0005165316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001148667,0.000548056,0.820107,0.0003394211,0.0005837318,0.00007285317,0.002149224,0.01726081,0.002752543,0.00296659,0.002139583,0.1499315],"study_design_scores_gemma":[0.0001379655,0.001615404,0.9157064,0.0002738872,0.0001485523,0.0002511548,0.001222992,0.06864847,0.003658456,0.002729179,0.005530898,0.00007659334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9101139,0.0002379023,0.08175544,0.0001955656,0.00006123567,0.0006256925,0.002263001,0.0001613048,0.00458608],"genre_scores_gemma":[0.9516765,0.00006845417,0.04373816,0.00004366185,0.00001625038,0.001191868,0.002852065,0.00004088271,0.0003722678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673218,"threshold_uncertainty_score":0.1413749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1506519139850787,"score_gpt":0.4004772640761663,"score_spread":0.2498253500910876,"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."}}