{"id":"W2954156255","doi":"10.1016/j.jval.2019.04.412","title":"PCN293 REAL-WORLD PRODUCTIVITY, HEALTHCARE RESOURCE UTILIZATION (HCRU) AND QUALITY OF LIFE (QOL) IN PATIENTS RECEIVING FIRST-LINE TREATMENT FOR ADVANCED GASTRIC CANCER (GC) IN CANADA AND EUROPE","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Quality of life (healthcare); Visual analogue scale; Work productivity; Cancer; Productivity; Population; Disease; Health care; Gerontology; Family medicine; Internal medicine; Physical therapy; Environmental health; 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":[0.000710812,0.0002473397,0.0004588154,0.001002419,0.0007150478,0.001609221,0.000722855,0.0004909653,0.002475473],"category_scores_gemma":[0.003176374,0.0002110418,0.001000578,0.003996993,0.0005241585,0.0004379379,0.0007395652,0.001055323,0.0002329199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01386499,"about_ca_system_score_gemma":0.01208831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9696829,"about_ca_topic_score_gemma":0.9586852,"domain_scores_codex":[0.9993421,0.0000843539,0.00005417774,0.00007982142,0.0001372809,0.0003022728],"domain_scores_gemma":[0.9975351,0.0002933289,0.0005107045,0.00007367085,0.0007362432,0.000850962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001384902,0.00003245879,0.9962494,0.0000175084,0.0001278473,0.00004460782,0.0001018005,0.0005485642,0.00002380963,0.00009721062,0.0009943257,0.001624065],"study_design_scores_gemma":[0.000007423277,0.0000157681,0.9985136,0.00001235974,0.00002765559,0.00002629873,0.0003962732,0.0004412868,0.00001397862,0.00002342958,0.0005150771,0.000006812436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873783,0.0006849489,0.00006009129,0.000347459,0.00001368367,0.00001135303,0.01024424,0.000007049501,0.001252846],"genre_scores_gemma":[0.9937366,0.0002747772,0.00004269811,0.00005864532,0.00000639204,0.000005541824,0.005191891,0.000003220839,0.0006800797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03031713,"threshold_uncertainty_score":0.100598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097483771285109,"score_gpt":0.3052322435279914,"score_spread":0.1954838663994805,"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."}}