{"id":"W2994776872","doi":"10.1016/j.jval.2019.09.649","title":"PCN457 THE SISAQOL INITIATIVE: ESTABLISHING INTERNATIONAL STANDARDS AND RECOMMENDATIONS FOR THE ANALYSIS OF PATIENT-REPORTED OUTCOMES AND QUALITY OF LIFE DATA IN ONCOLOGY RANDOMIZED CLINICAL TRIALS","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Canada; University of British Columbia","funders":"","keywords":"Missing data; Terminology; Comparability; Standardization; Clinical trial; Data quality; Medicine; Descriptive statistics; Data science; Management science; Computer science; Business; Service (business); Statistics; Pathology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7278824,0.004325333,0.01237233,0.02044592,0.003347237,0.0242881,0.01691333,0.01555852,0.01696823],"category_scores_gemma":[0.8261011,0.006916869,0.01351517,0.03420761,0.009435426,0.01035636,0.01737113,0.03275294,0.01463431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01247791,"about_ca_system_score_gemma":0.07060114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01102775,"about_ca_topic_score_gemma":0.01178182,"domain_scores_codex":[0.2121497,0.5922597,0.1056321,0.008100133,0.07797626,0.003882122],"domain_scores_gemma":[0.08050049,0.6395215,0.0508882,0.07324476,0.1440547,0.01179049],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005454944,0.0007115697,0.007637769,0.01824913,0.004915196,0.000163793,0.001587269,0.006240808,0.0009175288,0.05990991,0.5829502,0.3112618],"study_design_scores_gemma":[0.01346604,0.001539453,0.0276785,0.0434787,0.004443006,0.0004202646,0.0005891482,0.0203787,0.004829516,0.08120524,0.8012374,0.0007340365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003314354,0.01327367,0.7311128,0.07707149,0.008900353,0.06995637,0.05666319,0.01304358,0.02666424],"genre_scores_gemma":[0.009281806,0.003386537,0.8455293,0.0168901,0.001791072,0.08587465,0.028529,0.004733202,0.003984235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2721176,"threshold_uncertainty_score":0.3355694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7850245816451625,"score_gpt":0.6153870542944893,"score_spread":0.1696375273506733,"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."}}