{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004081216,0.0001532421,0.0002624442,0.0003639493,0.0001296687,0.00005053237,0.0001673508,0.000387244,0.002591],"category_scores_gemma":[0.00002642026,0.0001918595,0.0001337423,0.0002615693,0.0002791157,0.0002795933,0.000541051,0.0009795832,0.0001002318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365211,"about_ca_system_score_gemma":0.000121378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004396195,"about_ca_topic_score_gemma":0.0001000313,"domain_scores_codex":[0.9982147,0.0004899902,0.000241059,0.0006834954,0.0001356913,0.0002350767],"domain_scores_gemma":[0.9983501,0.0001723766,0.000196195,0.0005775057,0.000578552,0.0001252997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007024649,0.002780259,0.01822242,0.0002414101,0.0006009368,0.001940948,0.008454069,0.008460348,0.0005114636,0.9506429,0.006600329,0.0008424539],"study_design_scores_gemma":[0.0121832,0.002252202,0.2431346,0.001668798,0.001723711,0.0004717048,0.1414367,0.4169419,0.0005509105,0.1669204,0.009043938,0.003671891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588607,0.0000219408,0.01674077,0.0001446698,0.0006725831,0.0002287165,0.00002264909,0.0000597234,0.02324825],"genre_scores_gemma":[0.9893024,0.00008003249,0.0001950524,0.0000170621,0.00004407206,0.000001782789,0.00006092286,0.00001564785,0.01028305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7837225,"threshold_uncertainty_score":0.9983208,"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."}}