{"id":"W7132906059","doi":"","title":"A new approach for eye detection in remote gaze-estimation systems","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Face (sociological concept); Identification (biology); Constant false alarm rate; Pattern recognition (psychology); Eye tracking; Facial recognition system; Artificial neural network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004079645,0.0004646168,0.0005370895,0.000785551,0.000300272,0.0005599817,0.0008211851,0.0005315816,0.001917808],"category_scores_gemma":[0.0007784702,0.0003183675,0.0005428293,0.0003553019,0.0003257108,0.001001597,0.0007540862,0.0005152239,0.0006075586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006507281,"about_ca_system_score_gemma":0.0004385415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851977,"about_ca_topic_score_gemma":0.003905179,"domain_scores_codex":[0.9994922,0.00005646155,0.00002493552,0.0001587631,0.0002378905,0.00002968991],"domain_scores_gemma":[0.9996737,0.00005604543,0.00003481673,0.00005835756,0.0001615515,0.00001551608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001942997,0.0001034549,0.002620696,0.0001689466,0.0001195727,0.0002351881,0.0001507798,0.02179208,0.3131617,0.01238363,0.002221484,0.6468482],"study_design_scores_gemma":[0.00003653184,0.0002346659,0.005277891,0.00003053639,0.00007137249,0.0007703576,0.00004526335,0.8756859,0.1019912,0.004605388,0.01119804,0.00005285678],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01483616,0.0003790473,0.9809474,0.00008737056,0.00005948832,0.00007007472,0.00004750001,0.0008753628,0.002697546],"genre_scores_gemma":[0.2785799,0.0004306011,0.7132108,0.0001231977,0.00008570714,0.0001425421,0.0001486876,0.00008584899,0.007192642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002851977,"threshold_uncertainty_score":0.006415725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185011146115159,"score_gpt":0.3592508039675538,"score_spread":0.3274006925064022,"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."}}