{"id":"W2769090013","doi":"10.17077/drivingassessment.1643","title":"How Common In-Car Distractions Affect Driving Performance in Simple and Complex Road Environments","year":2017,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Affect (linguistics); Simple (philosophy); Computer science; Road traffic; Transport engineering; Human–computer interaction; Psychology; Engineering; Communication","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":[0.0004399954,0.0002774831,0.0002868902,0.0005402471,0.0002818196,0.0008032206,0.000256787,0.0003902577,0.0007626641],"category_scores_gemma":[0.00472443,0.0002525566,0.0003175142,0.0002075601,0.0002810715,0.0004050201,0.0005340804,0.0002663146,0.00020997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672863,"about_ca_system_score_gemma":0.000180061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909662,"about_ca_topic_score_gemma":0.005785977,"domain_scores_codex":[0.9994431,0.0001362696,0.00005908844,0.0001109099,0.0001600656,0.00009064813],"domain_scores_gemma":[0.9972676,0.001097574,0.0007118882,0.0001422242,0.0003433106,0.0004374347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002594131,0.001679117,0.9185758,0.0002633407,0.0003838101,0.0006325811,0.006594391,0.001498191,0.03733935,0.00007589941,0.0002578635,0.03010558],"study_design_scores_gemma":[0.00001892394,0.001508742,0.9932191,0.00001310499,0.00005785918,0.0003163634,0.002010954,0.0009305515,0.001550961,0.00005418412,0.0002941803,0.00002506145],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997625,0.00002734648,0.00004665565,0.000005245973,0.000001527302,0.000004601323,0.00001565928,0.000001654769,0.0001347568],"genre_scores_gemma":[0.9996525,0.00005621088,0.0001098707,0.000006993779,0.000003778622,0.000007281567,0.00005742135,0.000001713644,0.0001041105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909662,"threshold_uncertainty_score":0.005785465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03878098922820362,"score_gpt":0.3176266315701679,"score_spread":0.2788456423419643,"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."}}