{"id":"W2157620189","doi":"10.3899/jrheum.110402","title":"The PROMIS of Better Outcome Assessment: Responsiveness, Floor and Ceiling Effects, and Internet Administration","year":2011,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Psychometric Methodologies and Testing","field":"Decision Sciences","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Stony Brook University; University of Pittsburgh; University of Washington; Northwestern University","keywords":"Ceiling effect; Medicine; Ceiling (cloud); Computerized adaptive testing; Item response theory; Sample size determination; Physical therapy; Rheumatoid arthritis; Physical medicine and rehabilitation; Psychometrics; Internal medicine; Statistics; Alternative medicine; Pathology; Clinical psychology","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":[0.0610722,0.001084704,0.001799443,0.003420366,0.0004959364,0.001690991,0.0013131,0.0007852087,0.003817585],"category_scores_gemma":[0.1651222,0.000643635,0.003278488,0.005982286,0.001176224,0.001630076,0.003359651,0.002499352,0.000685559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156492,"about_ca_system_score_gemma":0.003489103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009737923,"about_ca_topic_score_gemma":0.001357304,"domain_scores_codex":[0.9054979,0.07524727,0.005705742,0.001914083,0.01094688,0.0006881182],"domain_scores_gemma":[0.862746,0.09800357,0.02257716,0.007745255,0.007816464,0.001111522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004890011,0.001363692,0.5253822,0.003683841,0.00404295,0.0001752107,0.002129717,0.008547811,0.00176533,0.01319365,0.01492632,0.4198993],"study_design_scores_gemma":[0.001964784,0.005674725,0.9133701,0.002039323,0.001524666,0.0009579103,0.0005711688,0.0241826,0.00345861,0.02108989,0.02497044,0.0001957154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5868615,0.02227487,0.2684026,0.01052587,0.001273005,0.01754661,0.01818166,0.002469389,0.0724646],"genre_scores_gemma":[0.8284899,0.003963834,0.1282546,0.001428126,0.0005217265,0.02825178,0.006233042,0.0002690714,0.002587848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0610722,"threshold_uncertainty_score":0.3229845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2544543516444623,"score_gpt":0.4364932432144383,"score_spread":0.1820388915699759,"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."}}