{"id":"W2892175799","doi":"10.1108/ijwhm-04-2018-0041","title":"Health and wellness of Canadian commercial motor vehicle drivers","year":2018,"lang":"en","type":"article","venue":"International Journal of Workplace Health Management","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Transport Canada; University of Saskatchewan","funders":"","keywords":"Stakeholder; Business; Truck; Government (linguistics); Focus group; Work (physics); Productivity; Occupational safety and health; Originality; Population; Marketing; Environmental health; Public relations; Engineering; Psychology; Medicine; Economic growth; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001885225,0.000193676,0.0002399997,0.0009590394,0.006002137,0.002255962,0.0007669912,0.0004859883,0.003304787],"category_scores_gemma":[0.003590578,0.0001564736,0.0002618046,0.001216466,0.001775537,0.000530959,0.001340122,0.0007686925,0.0001560056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0242185,"about_ca_system_score_gemma":0.04309503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9767548,"about_ca_topic_score_gemma":0.9886064,"domain_scores_codex":[0.9984013,0.0002401868,0.00005226687,0.0001297587,0.0006023771,0.0005741108],"domain_scores_gemma":[0.9969497,0.0003929693,0.0004162609,0.00006197087,0.001402624,0.0007763725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001298643,0.0001221604,0.7968994,0.0004895778,0.00004005327,0.000720623,0.1439717,0.0001893602,0.001054219,0.001165838,0.005794902,0.04942224],"study_design_scores_gemma":[0.000006429143,0.0001444215,0.6701941,0.0003711806,0.00002909673,0.0002427841,0.3097189,0.0001843245,0.0003085512,0.0002594009,0.01848998,0.00005069181],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874787,0.001022624,0.00009807737,0.001934269,0.00002418785,0.00005576881,0.0005193047,0.00000427464,0.008862766],"genre_scores_gemma":[0.9974975,0.0007175101,0.0001168881,0.0003419768,0.000005507276,0.00001915544,0.0001192226,0.000001512319,0.001180678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0242185,"threshold_uncertainty_score":0.1757183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200938962939824,"score_gpt":0.3327381279110278,"score_spread":0.3107287382816296,"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."}}