{"id":"W3154440285","doi":"10.48550/arxiv.2104.05677","title":"Behavioral Research and Practical Models of Drivers' Attention","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"SAFER; Notice; Computer science; Discipline; Human–computer interaction; Computer security; Transport engineering; 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":[0.003968849,0.0008967726,0.0005665427,0.002959571,0.0005583099,0.002988802,0.001778155,0.001702585,0.01404626],"category_scores_gemma":[0.02075389,0.0004595695,0.001011437,0.003070724,0.001545661,0.004065325,0.001028698,0.001303914,0.001604355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987241,"about_ca_system_score_gemma":0.001280893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200747,"about_ca_topic_score_gemma":0.009489921,"domain_scores_codex":[0.9980187,0.0009340786,0.0001014232,0.0005096092,0.0002143302,0.0002217901],"domain_scores_gemma":[0.9874761,0.009483526,0.0009359684,0.0005653835,0.001287019,0.0002520459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003495293,0.0009358676,0.1600392,0.002228281,0.00065391,0.0004619398,0.009002297,0.08400229,0.001482353,0.5488396,0.01745251,0.1745522],"study_design_scores_gemma":[0.0001516847,0.0003888929,0.165179,0.0006494613,0.0004776018,0.0006015286,0.004748265,0.3022486,0.0004114514,0.4882067,0.03679872,0.0001381503],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5652692,0.02596269,0.2148846,0.03033729,0.0006440074,0.0004958752,0.00814972,0.0005965599,0.1536601],"genre_scores_gemma":[0.9769154,0.006209568,0.007985808,0.0007484581,0.0002058621,0.0003911117,0.001265011,0.00003631077,0.006242522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200747,"threshold_uncertainty_score":0.04698938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4326755212226928,"score_gpt":0.3938453926973989,"score_spread":0.03883012852529388,"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."}}