{"id":"W4214905597","doi":"10.5220/0010440200002932","title":"What Does Visual Gaze Attend to during Driving?","year":2021,"lang":"en","type":"article","venue":"Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Gaze; Computer science; Human–computer interaction; Eye tracking; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003360647,0.0002323421,0.0002395386,0.0006915274,0.0004099686,0.001122614,0.00017806,0.0006504906,0.002667246],"category_scores_gemma":[0.005970448,0.0002081066,0.0002825551,0.0004203073,0.0002234368,0.0007783189,0.0005051105,0.0003855862,0.0004470886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021547,"about_ca_system_score_gemma":0.0002029101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005981067,"about_ca_topic_score_gemma":0.01071131,"domain_scores_codex":[0.9998299,0.0000344573,0.000009071187,0.00004688821,0.00003666673,0.00004292024],"domain_scores_gemma":[0.9989473,0.0004179513,0.0002526369,0.00007079043,0.0002170162,0.00009427422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003146545,0.0002381829,0.5194014,0.0009572076,0.0006664309,0.0008854314,0.01319515,0.001062728,0.2585304,0.001992702,0.009524914,0.1903989],"study_design_scores_gemma":[0.0000281154,0.0001748242,0.9865942,0.0001241757,0.0001090556,0.0004484698,0.003145782,0.001519646,0.003708747,0.001114179,0.002999956,0.00003301057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981317,0.001720609,0.001962516,0.0004618721,0.0001269438,0.00004659221,0.0004399165,0.00007844959,0.01384617],"genre_scores_gemma":[0.9971862,0.0005304269,0.000464373,0.0001274794,0.00006470535,0.00002154009,0.0001738674,0.00002866855,0.001402704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005981067,"threshold_uncertainty_score":0.0118925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562953453056777,"score_gpt":0.3264770988562437,"score_spread":0.3008475643256759,"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."}}