{"id":"W2805359754","doi":"10.1145/3204493.3204583","title":"Sensitivity to natural 3D image transformations during eye movements","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saccade; Saccadic masking; Computer vision; Saccadic suppression of image displacement; Computer science; Artificial intelligence; Sensitivity (control systems); Eye movement; Transformation (genetics); Object (grammar); Virtual image; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001721748,0.0002643488,0.0002653418,0.0005954833,0.001478802,0.0003354585,0.003185004,0.0001371581,0.000008137712],"category_scores_gemma":[0.0006432396,0.0002177391,0.0001349568,0.002221354,0.0007997168,0.0007110161,0.001069189,0.000819283,0.0004511028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002492325,"about_ca_system_score_gemma":0.00007519483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006055279,"about_ca_topic_score_gemma":0.00004528411,"domain_scores_codex":[0.9968038,0.00005756551,0.0004624382,0.0007693566,0.001063053,0.0008437739],"domain_scores_gemma":[0.996366,0.0002383608,0.0002059864,0.001260908,0.001748794,0.0001799046],"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":[0.00002833452,0.0002974742,0.002416922,0.00008863348,0.00003904778,2.273452e-7,0.002107641,0.000009099032,0.9774684,0.01306135,0.001556375,0.00292655],"study_design_scores_gemma":[0.000774521,0.0002568596,0.1478034,0.0003999532,0.00002967435,0.00001955658,0.0002266053,0.001038484,0.8070346,0.014784,0.02692266,0.0007097538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409643,0.00001545166,0.03011521,0.02211804,0.0001859997,0.001685969,0.00003906148,0.0005293366,0.004346627],"genre_scores_gemma":[0.9595351,0.00001466266,0.03856843,0.0001365559,0.000181098,0.0004150048,0.000004041605,0.00003053187,0.001114594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704338,"threshold_uncertainty_score":0.9998211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03640482931694007,"score_gpt":0.3528486331143366,"score_spread":0.3164438037973965,"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."}}