{"id":"W2804068696","doi":"10.1007/s11136-018-1880-x","title":"Combining online and in-person methods to evaluate the content validity of PROMIS fatigue short forms in rheumatoid arthritis","year":2018,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Patient Safety Institute; McGill University; McGill University Health Centre","funders":"National Institutes of Health; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Johns Hopkins University; Patient-Centered Outcomes Research Institute","keywords":"Debriefing; Medicine; Physical therapy; Rheumatoid arthritis; Content validity; Quality of Life Research; Quality of life (healthcare); Patient-Reported Outcomes Measurement Information System; Clinical psychology; Psychology; Psychometrics; Public health; Internal medicine; Computerized adaptive testing","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02593914,0.0001449557,0.0008071624,0.0004756511,0.0001229167,0.00002989179,0.0002654771,0.00009178883,0.00008820173],"category_scores_gemma":[0.009719273,0.0001010872,0.00008396254,0.000719076,0.001092863,0.0001186178,0.0001971781,0.0006055226,0.000004340452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000754563,"about_ca_system_score_gemma":0.000403791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005094698,"about_ca_topic_score_gemma":0.005182818,"domain_scores_codex":[0.9936218,0.00302048,0.0009362672,0.0003551912,0.001447929,0.0006182877],"domain_scores_gemma":[0.9961944,0.002016857,0.00007100373,0.0005123935,0.000882523,0.0003228424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003867419,0.001145706,0.6787465,0.0005449491,0.0001502802,0.00001160738,0.01694009,0.000002067224,0.08977235,0.002437579,0.0002948885,0.2060866],"study_design_scores_gemma":[0.006575276,0.003407803,0.9219419,0.002823097,0.000001435485,0.00001805727,0.01804934,0.001042263,0.04325385,0.002094687,0.0005790644,0.0002132458],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899828,0.003335152,0.0002621679,0.004463022,0.00003191601,0.001399467,0.00002967612,0.00001098633,0.0004847541],"genre_scores_gemma":[0.9874591,0.008633617,0.003657664,0.00007561253,0.00002744995,0.00008580253,0.00001175235,0.00001839061,0.00003057882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2431954,"threshold_uncertainty_score":0.9986223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.565498672983902,"score_gpt":0.5307460641891161,"score_spread":0.03475260879478592,"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."}}