{"id":"W4390771242","doi":"10.1177/07067437231223331","title":"Évaluation de la structure factorielle et des qualités psychométriques de l'Échelle de Fatigue Pandémique parmi la population adulte québécoise: Evaluation of the factorial structure and psychometric qualities of the Pandemic Fatigue Scale among Quebec adult population","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Psychiatry","topic":"Fibromyalgia and Chronic Fatigue Syndrome Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; Cégep de l'Outaouais","funders":"Canadian Institutes of Health Research","keywords":"Convergent validity; Psychology; Population; Confirmatory factor analysis; Scale (ratio); Psychometrics; Clinical psychology; Demography; Statistics; Structural equation modeling; Mathematics; Geography; Cartography; Sociology; Internal consistency","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.005667306,0.0004455349,0.0003997775,0.001685739,0.0009095866,0.001232396,0.0006610186,0.0004113651,0.002592413],"category_scores_gemma":[0.01330494,0.0001661192,0.001015585,0.001833185,0.0006339529,0.0006289086,0.0005777678,0.0005410066,0.0001742522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00618348,"about_ca_system_score_gemma":0.004946312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.481113,"about_ca_topic_score_gemma":0.5382738,"domain_scores_codex":[0.998688,0.0004234665,0.0001054726,0.0001225451,0.0004830232,0.0001774326],"domain_scores_gemma":[0.9936889,0.002219074,0.001056927,0.0002293485,0.002446431,0.000359414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005352845,0.00004498297,0.9851137,0.00004151359,0.0001594668,0.00001996848,0.0007276307,0.0003482367,0.000160727,0.0001226266,0.0004373452,0.01277024],"study_design_scores_gemma":[0.000005718578,0.00004460938,0.9979216,0.00001565402,0.00001696589,0.00001292785,0.0004370938,0.001114685,0.00004021763,0.00003643837,0.0003486328,0.000005421837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993718,0.0005740696,0.001831207,0.0003791352,0.00001791031,0.000166041,0.001540418,0.00002166274,0.001751509],"genre_scores_gemma":[0.9973103,0.0001083616,0.001226287,0.00002396971,0.000005929649,0.0001148365,0.0007372322,0.000003635391,0.0004693777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.518887,"threshold_uncertainty_score":0.9566252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05015147653907069,"score_gpt":0.3604434299848007,"score_spread":0.31029195344573,"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."}}