{"id":"W3131339662","doi":"10.5220/0010220800670075","title":"Driver’s Eye Fixation Prediction by Deep Neural Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Fixation (population genetics); Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00006947661,0.00006548331,0.00007014174,0.00002193052,0.0001008445,0.00006482564,0.0002283674,0.00006364223,0.00003951819],"category_scores_gemma":[0.0000236485,0.00006158972,0.00002927327,0.0003129579,0.0000233331,0.0001946958,0.0001072435,0.000102258,0.00004068831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002175914,"about_ca_system_score_gemma":0.00001389698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007956659,"about_ca_topic_score_gemma":0.00001649448,"domain_scores_codex":[0.9993106,0.00003890511,0.0001059491,0.0002579569,0.0001077861,0.0001788409],"domain_scores_gemma":[0.9995722,0.0000269796,0.00003755413,0.0002637679,0.00006785239,0.00003164844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005348739,0.0002242842,0.1458456,0.00001255854,0.00005686988,0.00007501785,0.0002794665,0.006918318,0.01359757,0.2038861,0.1461771,0.4829218],"study_design_scores_gemma":[0.0003946012,0.0001072031,0.2243915,0.00001046047,0.00001005177,0.00002949059,0.00002478307,0.7338437,0.01003164,0.008317104,0.02261289,0.0002265085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0535193,0.0001426938,0.9391519,0.003036953,0.0005473691,0.00003577109,0.000001164422,0.0006807398,0.002884074],"genre_scores_gemma":[0.9770089,0.000008745017,0.02136546,0.0003858379,0.00007059136,0.000005257969,0.00001484978,0.000003569861,0.001136723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9234897,"threshold_uncertainty_score":0.2511556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008809817392751138,"score_gpt":0.2234375099157217,"score_spread":0.2146276925229705,"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."}}