{"id":"W4414852833","doi":"10.1136/oemed-2025-epicohabstracts.84","title":"8282319 Supporting prevention through measurement: dual-sample validation of the questionnaire on psychosocial risks, well-being, and health at work (QRBEST) in québec","year":2025,"lang":"en","type":"article","venue":"","topic":"Stress and Burnout Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Université du Québec à Rimouski; Université du Québec à Montréal","funders":"","keywords":"Psychosocial; Confirmatory factor analysis; Exploratory factor analysis; Reliability (semiconductor); Sample (material); Data collection; Internal consistency; Population","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001338298,0.0001128068,0.0001884203,0.00009086889,0.0001924952,0.00002512822,0.0001152961,0.00009691895,0.0004709488],"category_scores_gemma":[0.0001868465,0.00008417414,0.00006734422,0.0004142752,0.00007469574,0.00005863841,0.00006931476,0.0002080697,0.00001433655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326538,"about_ca_system_score_gemma":0.0002410262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08653981,"about_ca_topic_score_gemma":0.04973321,"domain_scores_codex":[0.9981365,0.0004208156,0.0004560327,0.000307652,0.0003740821,0.0003049243],"domain_scores_gemma":[0.9992933,0.00009597121,0.0002208249,0.0002771976,0.00007943372,0.00003331298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001851632,0.0003632873,0.9100705,0.0001319419,0.00005801005,8.941577e-7,0.004425566,0.00001303815,0.00005273568,0.02290061,0.01164472,0.05015356],"study_design_scores_gemma":[0.00119042,0.0001643198,0.9829289,0.001112846,0.00001511475,9.493662e-7,0.0007303424,0.00001306148,0.0009311765,0.01006942,0.002737103,0.0001063767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941429,0.001145977,0.001619935,0.01702001,0.0006240068,0.000912582,0.000003895732,0.00004191851,0.03720274],"genre_scores_gemma":[0.9958931,0.00006926274,0.00006248707,0.0002796066,0.00005651399,0.00005415202,0.000006941529,0.000009282579,0.003568644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0728584,"threshold_uncertainty_score":0.9676067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09087255370640118,"score_gpt":0.4364956297614495,"score_spread":0.3456230760550483,"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."}}