{"id":"W2587035298","doi":"10.1002/alr.21917","title":"Establishing utility values for the 22‐item Sino‐Nasal Outcome Test (SNOT‐22) using a crosswalk to the EuroQol–five‐dimensional questionnaire–three‐level version (EQ‐5D‐3L)","year":2017,"lang":"en","type":"article","venue":"International Forum of Allergy & Rhinology","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Institute of Health Services and Policy Research; Canadian Institutes of Health Research","keywords":"Medicine; Schema crosswalk; EQ-5D; Test (biology); Physical therapy; Internal medicine; Health related quality of life; Transport engineering","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":[0.02505234,0.0007767373,0.0006240038,0.002227835,0.0004030462,0.001399629,0.0009114957,0.0005816483,0.001734622],"category_scores_gemma":[0.07443346,0.000212064,0.002338186,0.002068647,0.0009574175,0.00097046,0.001423807,0.0009832161,0.000297573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937733,"about_ca_system_score_gemma":0.001721062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007941912,"about_ca_topic_score_gemma":0.006955968,"domain_scores_codex":[0.9849531,0.01136148,0.0006547849,0.0008130792,0.001854246,0.0003632662],"domain_scores_gemma":[0.9685781,0.02353716,0.003383193,0.001453696,0.002677319,0.0003704485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001270194,0.000650463,0.8962819,0.0002407611,0.001211062,0.00007908874,0.001266247,0.01750994,0.0004724259,0.002557601,0.00113016,0.07733004],"study_design_scores_gemma":[0.0002697289,0.004072082,0.8206279,0.000368854,0.0006875036,0.0003129505,0.002571687,0.1602556,0.001907087,0.005652075,0.003136233,0.0001383375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626047,0.0003449662,0.03131315,0.0001992671,0.00005025995,0.000752179,0.001152357,0.00005378168,0.003529407],"genre_scores_gemma":[0.9855955,0.00008141781,0.0128316,0.0000419087,0.000006796846,0.0005482939,0.0007190031,0.000009988431,0.0001655594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02505234,"threshold_uncertainty_score":0.132491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1027796719774242,"score_gpt":0.3535153791118323,"score_spread":0.2507357071344081,"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."}}