{"id":"W626862862","doi":"10.17077/drivingassessment.1107","title":"Microsleep Episodes, Attention Lapses and Circadian Variation in Psychomotor Performance in a Driving Simulation Paradigm","year":2003,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Circadian rhythm; Psychomotor learning; Variation (astronomy); Computer science; Cognitive psychology; Psychology; Neuroscience; Cognition; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003622494,0.0001280805,0.0001391395,0.0002851168,0.00005725073,0.0000324741,0.00005353345,0.0002052768,0.0003583303],"category_scores_gemma":[0.00003837727,0.0001350444,0.00002375979,0.0004019295,0.00002529956,0.0002352685,0.000006084012,0.0001970461,0.00009063744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006426867,"about_ca_system_score_gemma":0.000009637833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002746219,"about_ca_topic_score_gemma":0.0006920605,"domain_scores_codex":[0.9988422,0.0001539128,0.0003305335,0.0003202011,0.00007726229,0.0002759395],"domain_scores_gemma":[0.9995652,0.0001175013,0.00007469222,0.0001772979,0.00001418148,0.00005106355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002803026,0.0001489566,0.9708894,0.000004471387,0.00001725134,0.000004143565,0.001786058,0.001766585,0.0003190934,0.009448121,0.00002249603,0.01556538],"study_design_scores_gemma":[0.001671973,0.00004701667,0.9931419,0.00009740707,0.000008800865,0.000003499853,0.00009976495,0.004205535,0.00002442759,0.0002722784,0.0002567339,0.0001706631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862621,0.0002461138,0.002534215,0.0001168197,0.0003840987,0.0003187195,7.639468e-7,0.0000390744,0.01009805],"genre_scores_gemma":[0.9991832,0.00003482978,0.0004153372,0.0001018194,0.00002656371,0.00003654493,0.000009590512,0.00001625163,0.0001758045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02225249,"threshold_uncertainty_score":0.5506949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617974706393717,"score_gpt":0.2825487874830936,"score_spread":0.2663690404191565,"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."}}