{"id":"W3213400146","doi":"10.1177/1071181321651289","title":"Gaze and pupil size variability predict difficulty-level and safe intersection crosses in a driving simulator","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Gaze; Driving simulator; Eye movement; Pupillometry; Eye tracking; Pupil; Psychology; Cognition; Pupil size; Simulation; Cognitive psychology; Computer science; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009468735,0.0002336239,0.0004201914,0.00002227751,0.001330172,0.00006076701,0.00011767,0.000191749,0.000006120648],"category_scores_gemma":[0.002210369,0.0001799575,0.00009594676,0.0001306369,0.0003069351,0.0003186265,0.0008734289,0.0005706124,1.415592e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167904,"about_ca_system_score_gemma":0.0000538464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910535,"about_ca_topic_score_gemma":0.0005372904,"domain_scores_codex":[0.998417,0.00005420157,0.0005710764,0.0004562819,0.0001235125,0.0003779068],"domain_scores_gemma":[0.9980463,0.001125071,0.0003583361,0.00009095071,0.000295866,0.00008347031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000113998,0.00004311547,0.9360969,0.0007190393,0.00005564987,5.914336e-8,0.05600053,0.000007698507,0.006649093,0.0001288175,0.0002133878,0.00007432577],"study_design_scores_gemma":[0.0006153546,0.00003108826,0.9311774,0.0008948253,0.00003795147,0.000001098993,0.06561369,0.0003626744,0.0005534906,0.0004409591,0.0001035145,0.0001678965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988347,0.0001039766,0.000006106146,0.0002328407,0.0002072583,0.000326703,0.00004769224,0.0000396817,0.0002010405],"genre_scores_gemma":[0.9990418,0.0001567409,0.0003651083,0.00007783574,0.0001161637,0.00001702081,0.000001448529,0.00002303995,0.0002008704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009613152,"threshold_uncertainty_score":0.99997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855647985808908,"score_gpt":0.3101096150338193,"score_spread":0.2815531351757303,"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."}}