{"id":"W1593320992","doi":"10.1109/ccece.1995.528150","title":"Neural network model for truck driver fatigue accident detection","year":2002,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Truck; Accident (philosophy); Traffic accident; Artificial neural network; Computer science; Perception; Engineering; Forensic engineering; Automotive engineering; Artificial intelligence; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006871207,0.0005905643,0.0006265249,0.000494169,0.0002852673,0.0005505143,0.0007598856,0.001019591,0.002643578],"category_scores_gemma":[0.002118754,0.0002789356,0.0004192463,0.00045281,0.0002028544,0.0005643804,0.0003961849,0.00106562,0.0004892875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009550183,"about_ca_system_score_gemma":0.0006178842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02247859,"about_ca_topic_score_gemma":0.0146036,"domain_scores_codex":[0.9998432,0.0000417527,0.00001250682,0.00004659565,0.00002848691,0.00002733145],"domain_scores_gemma":[0.9993711,0.0003792813,0.00004558624,0.00001850329,0.0001696625,0.0000158532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006447478,0.00003997615,0.0008623216,0.00002323486,0.00002312834,0.00002784264,0.00001347669,0.971927,0.0004486614,0.0007656328,0.0004984332,0.02530588],"study_design_scores_gemma":[0.000001463293,0.000005589925,0.000125323,0.000001252822,0.000001819556,0.000001693108,0.000001010732,0.9994993,0.00004858485,0.0002730438,0.00003964084,0.000001275292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2283974,0.00186413,0.7578237,0.0009085405,0.0002282823,0.0001473113,0.0008001804,0.001512963,0.008317557],"genre_scores_gemma":[0.9586469,0.0003612186,0.03289709,0.00008667757,0.00005186971,0.0002427219,0.0004227677,0.00002639466,0.007264359],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02247859,"threshold_uncertainty_score":0.0446955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667156332071322,"score_gpt":0.3042793861206635,"score_spread":0.2376078227999502,"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."}}