{"id":"W3013511813","doi":"10.2147/jpr.s236957","title":"<p>Predicting EQ-5D-5L Utility Scores from the Oswestry Disability Index and Roland-Morris Disability Questionnaire for Low Back Pain</p>","year":2020,"lang":"en","type":"article","venue":"Journal of Pain Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut Universitaire en Santé Mentale de Québec; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé","keywords":"Oswestry Disability Index; Medicine; EQ-5D; Quality of life (healthcare); Physical therapy; Low back pain; Univariate; Bayesian multivariate linear regression; Univariate analysis; Multivariate analysis; Multivariate statistics; Linear regression; Health related quality of life; Statistics; Disease; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002718743,0.0005523937,0.0003152511,0.001438623,0.0001643338,0.0006646671,0.000390578,0.0003657038,0.004129691],"category_scores_gemma":[0.008335211,0.0001429636,0.001006899,0.001161339,0.0002846634,0.0004185746,0.0004709097,0.00047486,0.001123814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734649,"about_ca_system_score_gemma":0.0004535961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004410747,"about_ca_topic_score_gemma":0.005141384,"domain_scores_codex":[0.9989492,0.0004646291,0.0001125385,0.0001303442,0.0002220048,0.0001212859],"domain_scores_gemma":[0.9962365,0.00189672,0.001094021,0.0001247857,0.0004615948,0.0001863228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007433174,0.00003391905,0.9901561,0.00003075987,0.00007605759,0.00002445778,0.00001803292,0.0007802579,0.00005755739,0.00004755666,0.0006145386,0.008086466],"study_design_scores_gemma":[0.00002239071,0.0001700955,0.9878116,0.00004284513,0.00008609881,0.0001243253,0.00007751055,0.01055463,0.0002258274,0.0002742076,0.0005985922,0.00001193042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864543,0.0007909365,0.004605492,0.0004172729,0.00002416386,0.00008444488,0.00453463,0.00005402143,0.003034721],"genre_scores_gemma":[0.9972018,0.00008875243,0.001052077,0.00003398861,0.000009753168,0.00003775058,0.001290053,0.000005402426,0.0002803702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004410747,"threshold_uncertainty_score":0.01437825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3598142507342008,"score_gpt":0.4401767866887945,"score_spread":0.08036253595459364,"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."}}