{"id":"W4324130151","doi":"10.1093/ibd/izad038","title":"Psychometric Performance of Fatigue Scales in Inflammatory Bowel Disease","year":2023,"lang":"en","type":"article","venue":"Inflammatory Bowel Diseases","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Nova Scotia Health Authority; Dalhousie University; University of Manitoba","funders":"Canadian Institutes of Health Research; Research Nova Scotia; Crohn's and Colitis Canada; Multiple Sclerosis Society; Multiple Sclerosis Society of Canada; Arthritis Society; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; University of Calgary; Biogen","keywords":"Medicine; Ceiling effect; Vitality; Cronbach's alpha; Construct validity; Physical therapy; Inflammatory bowel disease; Psychometrics; Internal medicine; Disease; Clinical psychology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01409197,0.0005014715,0.0007091002,0.001958452,0.0002742284,0.0006464137,0.0005146526,0.0006268955,0.001312716],"category_scores_gemma":[0.03402324,0.0002281864,0.001562907,0.001493442,0.0004921174,0.0008127139,0.001062065,0.0007365482,0.0002519928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005486797,"about_ca_system_score_gemma":0.0003070032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005857236,"about_ca_topic_score_gemma":0.0008409086,"domain_scores_codex":[0.9942756,0.002684462,0.0008656743,0.0003368556,0.001632547,0.0002047693],"domain_scores_gemma":[0.9779806,0.01146369,0.006361917,0.0009029478,0.002591657,0.0006992088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007723832,0.0002465504,0.9258966,0.0004726152,0.0007544759,0.00004870066,0.0005528398,0.0009843661,0.0004453264,0.0001499151,0.0008817433,0.0687943],"study_design_scores_gemma":[0.00008571136,0.0009459981,0.9958057,0.0001494245,0.000124203,0.0002056601,0.0001932156,0.0009742901,0.00015302,0.0002418028,0.001104654,0.00001622764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868215,0.005673741,0.002242322,0.0002858094,0.00008793308,0.0004632758,0.001081823,0.00006681333,0.003276974],"genre_scores_gemma":[0.9954295,0.000640233,0.002461738,0.0000789692,0.00003846838,0.0003221766,0.0008300899,0.000008648782,0.0001900427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409197,"threshold_uncertainty_score":0.07452637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282601765717709,"score_gpt":0.2541893469730448,"score_spread":0.2413633293158677,"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."}}