{"id":"W4283732667","doi":"10.1007/s40271-022-00584-w","title":"Interpreting Within-Patient Changes on the EORTC QLQ-C30 and EORTC QLQ-LC13","year":2022,"lang":"en","type":"article","venue":"Patient","topic":"Cancer survivorship and care","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fluidigm (Canada)","funders":"EMD Serono; Merck KGaA","keywords":"Standard deviation; Lung cancer; Medicine; Clinical trial; Statistics; Physical therapy; Mathematics; Oncology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002273771,0.000166763,0.0002008576,0.00008044617,0.0002751595,0.00002270333,0.00009370952,0.00003042562,0.0005099632],"category_scores_gemma":[0.00008476812,0.0001168362,0.00006575687,0.0001698809,0.00005708414,0.00001686983,0.0002626301,0.0003543261,0.00001145908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173508,"about_ca_system_score_gemma":0.00004374675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005608394,"about_ca_topic_score_gemma":0.0005868544,"domain_scores_codex":[0.9985792,0.0001291268,0.0002194853,0.0003122585,0.0005168823,0.0002430506],"domain_scores_gemma":[0.9992269,0.0001250979,0.000135222,0.0003485832,0.000054512,0.0001096746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002894641,0.001090758,0.07118072,0.0004306226,0.0004122007,0.000326033,0.4018191,0.0003126469,0.003319568,0.006533994,0.01736613,0.4943136],"study_design_scores_gemma":[0.0033549,0.02565628,0.02606178,0.001491207,0.0004712006,0.0003399898,0.2103986,0.003736008,0.02371066,0.0008372525,0.7022381,0.001703997],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858328,0.0007342326,0.000005890204,0.00395589,0.001298296,0.0005596575,0.00004064811,0.00005703652,0.007515548],"genre_scores_gemma":[0.9921124,0.00002563087,0.00001786512,0.007169179,0.00009536259,0.0003002051,0.00002521257,0.00002816198,0.000225979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684872,"threshold_uncertainty_score":0.5583739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510548705479723,"score_gpt":0.2338570414588564,"score_spread":0.2187515544040592,"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."}}