{"id":"W3087657902","doi":"10.1136/bmjopen-2019-035722","title":"EQ-5D-5L and SF-6Dv2 utility scores in people living with chronic low back pain: a survey from Quebec","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Centre Hospitalier Universitaire de Sherbrooke; Concordia University; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Fonds de Recherche du Québec - Santé","keywords":"Medicine; EQ-5D; Quality of life (healthcare); Visual analogue scale; Physical therapy; SF-36; Low back pain; Chronic pain; Health related quality of life; Gerontology; Alternative medicine; Internal medicine; Disease","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":[0.001215259,0.0002288721,0.0003172867,0.0009140631,0.00076031,0.0005755989,0.0005970078,0.0003112478,0.002662686],"category_scores_gemma":[0.002956764,0.0001616301,0.000540645,0.00246069,0.0003200605,0.000307908,0.0003930029,0.0004843931,0.0003110683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009439879,"about_ca_system_score_gemma":0.004788856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9714321,"about_ca_topic_score_gemma":0.9757513,"domain_scores_codex":[0.9990507,0.0001491246,0.00008379218,0.0001131158,0.0004332164,0.0001699517],"domain_scores_gemma":[0.998185,0.0001786585,0.000426966,0.00004336419,0.0008999596,0.0002660844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004412086,0.00003348478,0.9918898,0.00005245607,0.0000567739,0.00003179295,0.0002217008,0.0001438722,0.00009103392,0.00004401378,0.002655295,0.004735779],"study_design_scores_gemma":[0.000006945921,0.00001367273,0.9988502,0.00001909699,0.000007131733,0.00001452753,0.0001578007,0.0001773139,0.00001273954,0.000004179882,0.0007327499,0.000003614689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583355,0.001270979,0.000327154,0.0005861279,0.000018535,0.0001562578,0.0349748,0.00001755464,0.004313102],"genre_scores_gemma":[0.9894519,0.0004406988,0.0002679148,0.0001762105,0.000006182788,0.00008212173,0.008100299,0.000005393587,0.001469285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02856785,"threshold_uncertainty_score":0.06849146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.45714979036593,"score_gpt":0.4173173290476486,"score_spread":0.03983246131828144,"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."}}