{"id":"W649205785","doi":"10.17077/drivingassessment.1470","title":"Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving","year":2013,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Distraction; Task (project management); Computer science; Cognition; Cognitive load; Human–computer interaction; Driving simulator; Task analysis; Work (physics); Interface (matter); Simulation; Engineering; Psychology; Cognitive psychology; Systems engineering","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":[0.001420447,0.001137548,0.0005049675,0.0006828028,0.0001563257,0.000597361,0.0006205604,0.0009621186,0.002248738],"category_scores_gemma":[0.007101258,0.0003286829,0.0004184417,0.0002455239,0.0001862195,0.0006771252,0.0007597274,0.0004475884,0.0007661186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666838,"about_ca_system_score_gemma":0.000281091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008430503,"about_ca_topic_score_gemma":0.001319627,"domain_scores_codex":[0.9987864,0.000298263,0.0001242597,0.0002474685,0.0004665784,0.00007700142],"domain_scores_gemma":[0.9958621,0.002079043,0.0006870235,0.0002407019,0.0008151427,0.0003160168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02174496,0.004710296,0.03948161,0.002168037,0.0003338719,0.000237701,0.001592114,0.002308614,0.7663311,0.0002978137,0.001296507,0.1594973],"study_design_scores_gemma":[0.003155169,0.0536164,0.6909901,0.000202299,0.0006481943,0.002306013,0.001258266,0.03198924,0.2089723,0.001054327,0.005171019,0.0006366209],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645681,0.0002181527,0.03074234,0.00004493047,0.00009218545,0.001089677,0.0008060946,0.0002919582,0.002146429],"genre_scores_gemma":[0.9573287,0.0002666994,0.03459377,0.0002493584,0.00008883994,0.002190082,0.0009892243,0.00009839097,0.004194872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002248738,"threshold_uncertainty_score":0.007522762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641673563369242,"score_gpt":0.3928400017110576,"score_spread":0.3264232660773652,"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."}}