{"id":"W7133028718","doi":"","title":"Detecting Driver Drowsiness using Peripheral Physiological Signals","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto","keywords":"Context (archaeology); Focus (optics); Electroencephalography; Gold standard (test); Peripheral; Field (mathematics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003989822,0.0006513138,0.001079581,0.004434626,0.0002140636,0.001641187,0.0005593256,0.0007956245,0.001123728],"category_scores_gemma":[0.01388594,0.0002871277,0.002133499,0.002291084,0.0003988466,0.001296834,0.0006019449,0.0006006408,0.0002610031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007188849,"about_ca_system_score_gemma":0.001988831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969671,"about_ca_topic_score_gemma":0.005201585,"domain_scores_codex":[0.9976861,0.0008618773,0.0005168426,0.0003785597,0.0005110484,0.00004550153],"domain_scores_gemma":[0.9891163,0.007818795,0.001453745,0.0002501281,0.001295531,0.00006557546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003009269,0.0001017522,0.02127049,0.1518205,0.003364286,0.0001336206,0.0008229577,0.000763693,0.00287719,0.001487789,0.003273053,0.8137836],"study_design_scores_gemma":[0.0002952171,0.003518812,0.3098497,0.3676685,0.03670295,0.00318788,0.004872038,0.004658571,0.01597582,0.006967176,0.2458904,0.0004128644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02625418,0.9579909,0.007879563,0.001222665,0.000293361,0.0004305434,0.001898469,0.00007104865,0.003959336],"genre_scores_gemma":[0.1630294,0.8212584,0.01126066,0.0009910343,0.0002217721,0.0006451317,0.001588533,0.00001705588,0.0009878392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004434626,"threshold_uncertainty_score":0.0211004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06075986372524406,"score_gpt":0.3993912197448192,"score_spread":0.3386313560195751,"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."}}