{"id":"W1941727743","doi":"10.1109/itsc.2015.264","title":"Driver Inattention Detection System: A PSO-Based Multiview Classification Approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision","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":[0.0003755992,0.0004747429,0.0006856651,0.0004566623,0.0002171144,0.0005184853,0.0004538091,0.000464769,0.001243534],"category_scores_gemma":[0.0007840684,0.0002417543,0.000586601,0.0002737877,0.0001109849,0.000385066,0.0003060563,0.000471968,0.0003663525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002349341,"about_ca_system_score_gemma":0.0003320302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005439739,"about_ca_topic_score_gemma":0.003922017,"domain_scores_codex":[0.9998137,0.00002267617,0.00001139484,0.00006243911,0.00005886453,0.00003085367],"domain_scores_gemma":[0.9998025,0.00005367606,0.00002690064,0.00001576131,0.00008616985,0.00001494904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003370362,0.0002806261,0.006016212,0.0001227083,0.0001817959,0.0001125946,0.0001203336,0.398856,0.03631299,0.001594693,0.002260625,0.5538044],"study_design_scores_gemma":[0.000005062626,0.0000495825,0.001293272,0.000003517919,0.000009708674,0.00001690457,0.000008367557,0.9969408,0.001287864,0.0001733058,0.0002062695,0.000005305485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05268192,0.0002728727,0.9437924,0.0001204564,0.00006812378,0.00004738422,0.00005749534,0.0006673136,0.002292152],"genre_scores_gemma":[0.8484532,0.0001503316,0.1485871,0.00009017913,0.00003681266,0.00008617049,0.0001664155,0.00004587338,0.002383952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005439739,"threshold_uncertainty_score":0.01081616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0910278091293363,"score_gpt":0.3146982271065353,"score_spread":0.223670417977199,"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."}}