{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001912912,0.0005225674,0.000306715,0.0005747062,0.0001800623,0.0003002692,0.0003194316,0.0004440181,0.000974709],"category_scores_gemma":[0.0006185551,0.000188415,0.0003711501,0.0003574333,0.0000728888,0.0003188766,0.0002402944,0.0005540493,0.0004944771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004686646,"about_ca_system_score_gemma":0.0005174073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203333,"about_ca_topic_score_gemma":0.02377668,"domain_scores_codex":[0.9998976,0.000008283493,0.000003862239,0.00004353855,0.00001696191,0.00002981988],"domain_scores_gemma":[0.9997963,0.0000461199,0.00002124813,0.00001750704,0.0001029433,0.00001587793],"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":[0.001447871,0.0005595037,0.05276873,0.0001871699,0.0003188266,0.0005737068,0.0001256375,0.1606582,0.097972,0.001431983,0.01858816,0.6653681],"study_design_scores_gemma":[0.0000064493,0.00005190876,0.008819992,0.000008535008,0.00002449984,0.00004199356,0.00001314276,0.9850272,0.005221799,0.0003057278,0.0004708468,0.000007881911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7728137,0.0026889,0.213566,0.0004894203,0.0005953022,0.00004924295,0.001372952,0.001666175,0.00675832],"genre_scores_gemma":[0.9904211,0.0002374003,0.005887725,0.00004492869,0.00003643444,0.000007567155,0.0004331581,0.00001820957,0.00291346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02203333,"threshold_uncertainty_score":0.04381019,"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."}}