{"id":"W634412521","doi":"","title":"Automating driver visual behavior measurement","year":2012,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Volvo (Canada)","funders":"","keywords":"Gaze; Pedestrian; Eye movement; Eye tracking; Computer science; Visual search; Action (physics); Computer vision; Task (project management); Artificial intelligence; Psychology; Cognitive psychology; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003351071,0.000217747,0.0001976953,0.001157181,0.001102992,0.00007285756,0.0005061211,0.0001967318,0.009826398],"category_scores_gemma":[0.00004354654,0.0002841898,0.0001847622,0.00125854,0.0001461014,0.001608394,0.0001689297,0.0003127329,0.001509294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032246,"about_ca_system_score_gemma":0.0001296656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002116985,"about_ca_topic_score_gemma":0.0001336171,"domain_scores_codex":[0.9981594,0.0003071095,0.0002146959,0.0003927551,0.0004005138,0.0005255375],"domain_scores_gemma":[0.9982482,0.00008846095,0.0002436789,0.0005051718,0.0005116026,0.0004029225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003781531,0.0009610893,0.01643216,0.000007367319,0.0001743248,0.00001254674,0.00262421,0.000004506467,0.0002268635,0.9611673,0.01576788,0.002583913],"study_design_scores_gemma":[0.0008078929,0.00003105969,0.1591988,0.000009109668,0.000157352,0.00001535136,0.005998748,0.00008448333,0.00001413712,0.000006883099,0.8334187,0.0002574864],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06210525,0.00001968185,0.007755422,0.0007339141,0.0008272014,0.0003615328,0.00003427087,0.0006643049,0.9274984],"genre_scores_gemma":[0.3319498,0.000007801936,0.0006817888,0.0001440238,0.0001572418,0.000002038938,0.00008852388,0.0000235596,0.6669452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9611604,"threshold_uncertainty_score":0.999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05201672247130953,"score_gpt":0.3116240484032692,"score_spread":0.2596073259319597,"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."}}