{"id":"W4313250751","doi":"10.1186/s12955-022-02082-x","title":"Evaluating fatigue in patients recovering from COVID-19: validation of the fatigue severity scale and single item screening questions","year":2022,"lang":"en","type":"article","venue":"Health and Quality of Life Outcomes","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Provincial Health Services Authority; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Michael Smith Health Research BC; University of British Columbia; St. Paul's Foundation","keywords":"Medicine; Cronbach's alpha; Ceiling effect; Construct validity; Physical therapy; Depression (economics); Quality of life (healthcare); Coronavirus disease 2019 (COVID-19); Severity of illness; Internal medicine; Psychometrics; Clinical psychology; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002625616,0.0001306106,0.0005779336,0.000116959,0.0003172645,0.0000120231,0.00008955968,0.00004929545,0.00002567994],"category_scores_gemma":[0.01136616,0.0001113427,0.00007053096,0.0002069747,0.000093959,0.0001187,0.0001872409,0.0002344045,9.513272e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244043,"about_ca_system_score_gemma":0.0006021468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01598382,"about_ca_topic_score_gemma":0.0005661775,"domain_scores_codex":[0.9967832,0.001295772,0.0008455907,0.0002723253,0.0006023553,0.0002007893],"domain_scores_gemma":[0.9960451,0.002540674,0.0006621039,0.0003035558,0.00006933091,0.0003792862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002510666,0.0001611766,0.9910105,0.001358389,0.00002101611,1.837984e-7,0.003234994,0.0003442022,0.00009929777,0.00003734028,0.00003329159,0.003448492],"study_design_scores_gemma":[0.003120696,0.0003962074,0.9942161,0.0002525411,0.0000202759,5.421949e-7,0.0008723735,0.0006747679,0.00009399426,0.0001763836,0.00007866264,0.00009747643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868823,0.0002994279,0.0009643891,0.01062389,0.0001178475,0.0009204893,0.0001512297,0.00002441013,0.00001604748],"genre_scores_gemma":[0.9885613,0.00001506409,0.004320614,0.006937467,0.00001906549,0.0000275298,0.00009420886,0.00001144618,0.00001336149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01541764,"threshold_uncertainty_score":0.9969615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187818273230313,"score_gpt":0.446715641996042,"score_spread":0.2588973687657291,"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."}}