{"id":"W2994840958","doi":"10.1016/j.jval.2019.09.839","title":"PCV115 SOME APPROACHES FOR THE ESTIMATION OF CENSORED PATIENT REPORTED OUTCOMES: RESULTS USING THE KANSAS CITY CARDIOMYOPATHY QUESTIONNAIRE (KCCQ)","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":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Eli Lilly (Canada)","funders":"","keywords":"Censoring (clinical trials); Medicine; Hazard ratio; Population; Demography; Statistics; Internal medicine; Confidence interval; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.02669528,0.0008446154,0.0007371307,0.002827306,0.0007167387,0.002121219,0.002707528,0.0008417988,0.00960146],"category_scores_gemma":[0.09722942,0.0004563298,0.001827255,0.004499926,0.0006984743,0.001254811,0.00178595,0.001414197,0.0008776092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361596,"about_ca_system_score_gemma":0.002063309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0780014,"about_ca_topic_score_gemma":0.04118541,"domain_scores_codex":[0.9665971,0.02913468,0.0008612666,0.001153754,0.001893527,0.0003597393],"domain_scores_gemma":[0.9249266,0.06237561,0.001794384,0.006084222,0.00449988,0.0003192404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001529105,0.0004012256,0.412134,0.0008319156,0.003717085,0.0002053956,0.001363939,0.0587312,0.0005486372,0.02566151,0.01278149,0.4820946],"study_design_scores_gemma":[0.0005233336,0.001335372,0.5574385,0.0006021862,0.001234764,0.0002859049,0.001630053,0.3708216,0.002973809,0.03691644,0.02600334,0.0002346512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2615738,0.002259115,0.7087649,0.001281,0.000224419,0.001402158,0.01254611,0.0006721498,0.01127626],"genre_scores_gemma":[0.7554839,0.000669379,0.2285869,0.0002542529,0.00007177149,0.001312585,0.008034375,0.0002006559,0.00538617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0780014,"threshold_uncertainty_score":0.1550948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4917193725353559,"score_gpt":0.4138933796458729,"score_spread":0.077825992889483,"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."}}