{"id":"W998232048","doi":"","title":"Binocular Remote Gaze Estimation System for Infants","year":2008,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gaze; Computer science; Optometry; Estimation; Computer vision; Artificial intelligence; Medicine; Engineering; Systems 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798829,0.0005504901,0.0007282707,0.0006791623,0.000319495,0.0003153801,0.000573521,0.0006799583,0.007364953],"category_scores_gemma":[0.000734526,0.0002972568,0.0003122893,0.0002889396,0.00008395135,0.0004953431,0.0006930118,0.000383757,0.001928848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003475248,"about_ca_system_score_gemma":0.0005998616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623613,"about_ca_topic_score_gemma":0.00389352,"domain_scores_codex":[0.9997461,0.0000349288,0.00001420119,0.0001043989,0.00007415705,0.00002625146],"domain_scores_gemma":[0.9996137,0.00007013547,0.00003507374,0.00005079035,0.0001774735,0.00005288835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001584091,0.00014696,0.01673362,0.0004386301,0.00006080432,0.000851581,0.0004314033,0.0006603877,0.6563309,0.0006280261,0.007692437,0.3144412],"study_design_scores_gemma":[0.0004407221,0.003256059,0.2437122,0.0003166832,0.0006924905,0.01126429,0.0005990003,0.1200281,0.579225,0.0008922734,0.03926437,0.0003086678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5693273,0.002293418,0.3939697,0.0003158286,0.0002079379,0.0004370032,0.00369819,0.02113625,0.008614287],"genre_scores_gemma":[0.7939771,0.001068752,0.1903852,0.000290463,0.00007303543,0.0003814016,0.002138797,0.0005059072,0.01117938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007364953,"threshold_uncertainty_score":0.02463824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04883827553066423,"score_gpt":0.3263392600888926,"score_spread":0.2775009845582284,"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."}}