{"id":"W4400921675","doi":"10.1007/s10489-024-05696-4","title":"A real-time and lightweight driver fatigue detection model using anchor-free and visual-attention mechanisms","year":2024,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Computer science; Visual attention; Simulation; Artificial intelligence; Computer vision; Medicine; Cognition","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":[0.0002164339,0.000241006,0.000194622,0.0002141671,0.0001664401,0.0001093953,0.0001263935,0.0002875409,0.0002261924],"category_scores_gemma":[0.000008004505,0.0002306774,0.00004681528,0.0003546079,0.000107617,0.0001459512,0.0001000282,0.0002854392,0.0002092944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004929704,"about_ca_system_score_gemma":0.00001623895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001328012,"about_ca_topic_score_gemma":0.00001372253,"domain_scores_codex":[0.9985309,0.00003855145,0.0003053322,0.0006467584,0.0001644659,0.0003140546],"domain_scores_gemma":[0.9994272,0.00009112716,0.00006279509,0.0002753424,0.00003376224,0.0001097503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001451145,0.0001151126,0.0000459123,0.0000397338,0.0003181113,0.00004399054,0.003573481,0.0008365932,0.4266148,0.176261,0.0004875991,0.3915185],"study_design_scores_gemma":[0.0006627631,0.0003734623,0.0003387418,0.0006909197,0.0005577097,0.0001071454,0.001098221,0.7012645,0.1776947,0.1156515,0.0001653526,0.001395001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3842472,0.0005701183,0.6074994,0.00006485984,0.0004298378,0.0003919491,0.000008079763,0.0002703874,0.006518289],"genre_scores_gemma":[0.9930767,0.0002613741,0.006117659,0.0000568847,0.00008390073,0.00005340713,0.000009111896,0.00004855952,0.0002923709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7004279,"threshold_uncertainty_score":0.9406753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663384584889458,"score_gpt":0.3054054018213523,"score_spread":0.2787715559724577,"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."}}