{"id":"W3198152653","doi":"10.3390/curroncol28050291","title":"Brazilian Validation of the European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Group (QLG) Computerised Adaptive Tests (CAT) Core","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Sample size determination; Quality of life (healthcare); Computerized adaptive testing; Demography; Sample (material); Ceiling effect; Cancer; Gerontology; Statistics; Internal medicine; Psychometrics; Clinical psychology; Mathematics; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02564564,0.0006149277,0.0005969091,0.001768283,0.0007558665,0.0008861847,0.0006753895,0.0004499581,0.001737668],"category_scores_gemma":[0.05679448,0.0003343497,0.001371826,0.002060166,0.001238001,0.0004393338,0.001801506,0.0005972502,0.0004020046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849223,"about_ca_system_score_gemma":0.005230374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02119822,"about_ca_topic_score_gemma":0.02733993,"domain_scores_codex":[0.9872248,0.006766892,0.001657757,0.001076462,0.002786696,0.0004874716],"domain_scores_gemma":[0.9681687,0.01055046,0.00365577,0.003473663,0.01349028,0.0006611312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007871714,0.0003227058,0.8073446,0.00120332,0.0005664259,0.0001275902,0.006315748,0.001025202,0.004075596,0.002696959,0.005006477,0.1705283],"study_design_scores_gemma":[0.0001541907,0.0005905247,0.9645028,0.0008175473,0.0003808706,0.0004634697,0.001437838,0.001393809,0.002031113,0.0008546328,0.02733556,0.00003758674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354225,0.006164571,0.0214117,0.001651889,0.0004889183,0.002602161,0.007079092,0.0001556934,0.02502337],"genre_scores_gemma":[0.9785696,0.001149899,0.01323486,0.0004012685,0.00004490826,0.001686481,0.003758334,0.00007316011,0.001081448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02564564,"threshold_uncertainty_score":0.1356288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4076080425442515,"score_gpt":0.5105551766867259,"score_spread":0.1029471341424744,"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."}}