{"id":"W2481670370","doi":"10.1145/2945292.2945298","title":"Interactive gaze driven animation of the eye region","year":2016,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Animation; Computer science; Gaze; Computer vision; Computer facial animation; Eye tracking; Computer graphics (images); Artificial intelligence; Eye movement; Skeletal animation; Computer animation; Character animation; Movement (music); Art","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":[0.0001876163,0.0003736328,0.0002688309,0.0002989187,0.0001727961,0.0003354964,0.0005838748,0.0004183831,0.005794632],"category_scores_gemma":[0.0007222298,0.0001920271,0.0003340403,0.0001002116,0.0001768598,0.0003791588,0.000675812,0.00044423,0.0006597542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894269,"about_ca_system_score_gemma":0.0001795612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00137103,"about_ca_topic_score_gemma":0.001626473,"domain_scores_codex":[0.9999028,0.00002151165,0.000004693738,0.00002783916,0.00003179131,0.00001126653],"domain_scores_gemma":[0.9997546,0.0001166595,0.00001849561,0.00003852375,0.00004203962,0.00002961916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006121834,0.0001446976,0.002032536,0.0002424029,0.00009240578,0.0004771331,0.0007596361,0.03015949,0.7369601,0.003443565,0.006315587,0.2187602],"study_design_scores_gemma":[0.0001656286,0.0004642581,0.007714135,0.0000778792,0.0001092618,0.0009729179,0.0001134659,0.7158987,0.2339837,0.002983043,0.03741322,0.0001037823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1068608,0.0003392687,0.8753796,0.0001952402,0.0001140447,0.0001194896,0.0003124529,0.009685304,0.006993789],"genre_scores_gemma":[0.6757686,0.0004020998,0.3104289,0.0001590326,0.00006913164,0.0002178956,0.0003806565,0.0008082889,0.0117654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005794632,"threshold_uncertainty_score":0.01938504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390886829098971,"score_gpt":0.2442713682169028,"score_spread":0.2303624999259131,"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."}}