{"id":"W2810926413","doi":"10.1080/10803548.2018.1491666","title":"A pre/post evaluation of fatigue, stress and vigilance amongst commercially licensed truck drivers performing a prolonged driving task","year":2018,"lang":"en","type":"article","venue":"International Journal of Occupational Safety and Ergonomics","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; University of Waterloo; University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Truck; Vigilance (psychology); Human factors and ergonomics; Poison control; Driving simulator; Session (web analytics); Occupational safety and health; Engineering; Cognition; Applied psychology; Aeronautics; Simulation; Psychology; Medicine; Automotive engineering; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008964957,0.000148825,0.0002344914,0.0002290769,0.0001895106,0.00003687563,0.0002522787,0.0001360996,0.0001902046],"category_scores_gemma":[0.0002114869,0.0001443767,0.00008057775,0.00008727411,0.0002343099,0.0003655737,0.00008183333,0.0002387547,0.00000326254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127919,"about_ca_system_score_gemma":0.0001843514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006402421,"about_ca_topic_score_gemma":0.0001701368,"domain_scores_codex":[0.9983006,0.0001348577,0.0007293966,0.0001909844,0.00049242,0.0001517637],"domain_scores_gemma":[0.9972079,0.0002661973,0.0008281535,0.0001045132,0.001500499,0.00009277424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03882423,0.000473915,0.7918284,0.00001681366,0.002233971,0.00001489779,0.01937866,0.002664279,0.0008829857,0.006584361,0.0002798277,0.1368176],"study_design_scores_gemma":[0.003078076,0.0003074056,0.9919634,0.0003266447,0.0001446041,0.0000507509,0.0005470399,0.002999394,0.0002089239,0.0000594882,0.000165012,0.0001492357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958778,0.0001754445,0.001881674,0.0002161274,0.001088917,0.0001813935,0.00006464264,0.000007076764,0.0005069186],"genre_scores_gemma":[0.9981787,0.0001056855,0.001035986,0.0001211394,0.000489203,0.000004815173,0.00003430066,0.00001328973,0.00001684364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.200135,"threshold_uncertainty_score":0.5887513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281701822521121,"score_gpt":0.3437028570867568,"score_spread":0.3108858388615456,"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."}}