{"id":"W3216167569","doi":"10.1016/j.jth.2021.101295","title":"Impact of electronic logging devices on fatigue and work environment in Canadian long-haul truck drivers","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Northern British Columbia; University of Saskatchewan","funders":"","keywords":"Truck; Logging; Work (physics); Sample (material); Perception; Transport engineering; Applied psychology; Engineering; Operations management; Business; Psychology; Automotive engineering; Geography","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":[0.0006437138,0.0003473263,0.0003180972,0.001101684,0.003641469,0.002025101,0.0008677991,0.00100238,0.003538238],"category_scores_gemma":[0.003068573,0.00032183,0.0008815087,0.001860099,0.001051276,0.0006770213,0.001115653,0.001168364,0.0002642112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01752612,"about_ca_system_score_gemma":0.01606489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9782844,"about_ca_topic_score_gemma":0.99001,"domain_scores_codex":[0.9989012,0.0000821426,0.00006659645,0.00009162253,0.0003691992,0.0004892511],"domain_scores_gemma":[0.9969789,0.0003000125,0.0004372789,0.00004969967,0.0016028,0.0006313358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000277298,0.0002921704,0.9882146,0.00004527582,0.00006223729,0.0002788816,0.00334201,0.0002383679,0.0003581006,0.00008588949,0.0006328198,0.006172316],"study_design_scores_gemma":[0.00000387302,0.0001017076,0.9920122,0.00003022634,0.00003019816,0.00004277807,0.006897976,0.000154933,0.00004691366,0.00001641081,0.0006448531,0.00001790586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979595,0.0001798173,0.00002245155,0.0002088664,0.00001015369,0.00001517294,0.0003446089,0.000002214223,0.001257297],"genre_scores_gemma":[0.9978975,0.0002353376,0.00004898488,0.00009879603,0.00000480869,0.000007501058,0.0002038873,0.000002426259,0.001500803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02171558,"threshold_uncertainty_score":0.1271615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193926301429619,"score_gpt":0.3114298749339778,"score_spread":0.2920372447910159,"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."}}