{"id":"W3163746986","doi":"10.1016/j.jval.2021.01.007","title":"The Functional Assessment of Cancer Therapy Eight Dimension (FACT-8D), a Multi-Attribute Utility Instrument Derived From the Cancer-Specific FACT-General (FACT-G) Quality of Life Questionnaire: Development and Australian Value Set","year":2021,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; Simon Fraser University","funders":"National Health and Medical Research Council; EuroQol Research Foundation; Australian Government","keywords":"Quality of life (healthcare); Worry; Logit; Valuation (finance); EQ-5D; Descriptive statistics; Medicine; Population; Psychology; Actuarial science; Statistics; Econometrics; Psychiatry; Nursing; Health related quality of life; Disease; Anxiety; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01374696,0.0003033606,0.001194552,0.0001049433,0.0005153367,0.00007003618,0.0002924505,0.0001699641,0.0002546651],"category_scores_gemma":[0.0006674388,0.0002601332,0.0001308782,0.0002991883,0.000195811,0.0002015851,0.000111163,0.0003818455,0.00001245242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648146,"about_ca_system_score_gemma":0.002367174,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08928064,"about_ca_topic_score_gemma":0.00713295,"domain_scores_codex":[0.9908827,0.002307343,0.005141343,0.0007981106,0.0003351262,0.0005354061],"domain_scores_gemma":[0.9942166,0.001590124,0.003024117,0.0007115946,0.0001933613,0.0002642043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005219538,0.0002537821,0.9794745,0.000291496,0.0001912336,3.238077e-7,0.004494997,0.004194851,0.00006824535,0.007125616,0.001486927,0.002365761],"study_design_scores_gemma":[0.001699316,0.00004537591,0.9748653,0.0002633043,0.000003767933,5.307474e-7,0.001136932,0.006931758,0.0002865883,0.0005982934,0.01393455,0.0002343374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203287,0.02452948,0.001284715,0.05020881,0.001089297,0.00100524,0.001528533,0.00001642779,0.000008729884],"genre_scores_gemma":[0.9807147,0.01258929,0.003699053,0.002331754,0.0001637319,0.0002516783,0.0001490621,0.00002545852,0.00007525116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0821477,"threshold_uncertainty_score":0.9999851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5490412816647725,"score_gpt":0.455468135442835,"score_spread":0.09357314622193752,"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."}}