{"id":"W2078881346","doi":"10.1007/s11136-004-0027-4","title":"Quantifying responsiveness of quality of life measures without an external criterion","year":2005,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quality of Life Research; Property (philosophy); Interpretation (philosophy); Statistics; Quality (philosophy); Confidence interval; Mathematics; Measure (data warehouse); Nominal level; Value (mathematics); Point (geometry); Econometrics; Computer science; Data mining; Medicine; Public health; Epistemology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1800503,0.0002776411,0.002720878,0.001131044,0.000257455,0.00006773262,0.001021123,0.0003284834,0.0004871296],"category_scores_gemma":[0.05470559,0.00034346,0.0003441708,0.0006149322,0.0007418984,0.0009268045,0.0002137336,0.000548306,0.0001891773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854836,"about_ca_system_score_gemma":0.001240248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531499,"about_ca_topic_score_gemma":0.001752565,"domain_scores_codex":[0.9750985,0.01039362,0.01152932,0.0009324406,0.001216954,0.0008291784],"domain_scores_gemma":[0.9844669,0.006444861,0.005312383,0.001667528,0.001471068,0.000637225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001935811,0.00108906,0.7816827,0.005449342,0.0002023054,3.512634e-7,0.008513303,0.0004312677,0.006120711,0.1924068,0.0009578097,0.001210591],"study_design_scores_gemma":[0.003060883,0.0005946505,0.9656785,0.0006498632,0.000008764837,0.000001533536,0.008844266,0.002231116,0.002236322,0.01125327,0.00474952,0.0006913376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792367,0.004502628,0.003285002,0.01078937,0.0001984582,0.000806034,0.0004241458,0.00003340335,0.0007242965],"genre_scores_gemma":[0.9917081,0.0002788538,0.006332401,0.0009472899,0.0004314664,0.00005159742,0.00002197674,0.00004878153,0.0001795492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1839958,"threshold_uncertainty_score":0.9999017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8561253948507869,"score_gpt":0.6141008438893484,"score_spread":0.2420245509614385,"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."}}