{"id":"W4391853794","doi":"10.1109/tai.2024.3366174","title":"Multistream Gaze Estimation With Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Artificial Intelligence","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Innovation for Defence Excellence and Security","keywords":"Gaze; Isolation (microbiology); Transfer of learning; Computer science; Artificial intelligence; Estimation; Computer vision; Optometry; Engineering; Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005615143,0.00124928,0.0006217619,0.0005623368,0.0002079223,0.0004452853,0.001554146,0.0009979355,0.003789232],"category_scores_gemma":[0.002206118,0.0004892824,0.0007944302,0.0003947542,0.0004300917,0.001277198,0.001302037,0.001374289,0.001037283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006406561,"about_ca_system_score_gemma":0.0006386647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008999766,"about_ca_topic_score_gemma":0.01045497,"domain_scores_codex":[0.9997762,0.00003964179,0.000007527638,0.0001052631,0.00003781124,0.0000336526],"domain_scores_gemma":[0.9995984,0.000136795,0.00004083704,0.0001050286,0.0000928509,0.0000260808],"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":[0.0006470441,0.0003827582,0.005566919,0.0001912987,0.0002772962,0.0002665496,0.0002011093,0.4061354,0.05889626,0.002935057,0.008333283,0.5161671],"study_design_scores_gemma":[0.00001489119,0.0000824731,0.0007305663,0.000007399404,0.00001307547,0.00004583137,0.00001296729,0.9907048,0.006363899,0.001417692,0.0005994067,0.000007028803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1712182,0.001096196,0.8111807,0.0004256249,0.0001574064,0.0001166303,0.0008363696,0.01209636,0.00287251],"genre_scores_gemma":[0.8048064,0.0002900132,0.1854172,0.0002854611,0.00006816701,0.0001223897,0.001880251,0.0003242944,0.006805818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008999766,"threshold_uncertainty_score":0.01789474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02489672806604777,"score_gpt":0.2872671706269648,"score_spread":0.2623704425609171,"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."}}