{"id":"W2199122477","doi":"10.1145/2770875","title":"Perceptual Tolerance to Stereoscopic 3D Image Distortion","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Stereoscopy; Depth perception; Computer vision; Artificial intelligence; Monocular; Perception; Binocular disparity; Computer science; Stereopsis; Parallax; Mathematics; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006645491,0.0002175245,0.0001746099,0.0001724851,0.0000889177,0.00004377823,0.0002694486,0.0001209977,0.0001756092],"category_scores_gemma":[0.00002146587,0.000233578,0.00004385641,0.000288883,0.00008336812,0.0002369287,0.000008909279,0.0003248638,0.001507248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079869,"about_ca_system_score_gemma":0.000009531833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005811026,"about_ca_topic_score_gemma":0.00001387019,"domain_scores_codex":[0.9989601,0.000009614566,0.0002140115,0.0002985117,0.0002250108,0.000292774],"domain_scores_gemma":[0.9991592,0.00002514619,0.00001552942,0.0006045793,0.00004466102,0.0001508634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001067032,0.000138027,0.00002358294,0.00004399526,0.00002383182,0.000002838111,0.002945564,0.1905273,0.1989084,0.0001113791,0.001454204,0.6057142],"study_design_scores_gemma":[0.02211219,0.00477963,0.09096031,0.001048272,0.001038063,0.0002287401,0.08258675,0.3151431,0.2836178,0.04869298,0.1333809,0.01641126],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2435469,0.000006826764,0.7518423,0.0002474614,0.0002822026,0.000258615,0.00001229233,0.001635629,0.002167782],"genre_scores_gemma":[0.7795702,0.00001808285,0.2198976,0.0001260387,0.00004721268,0.0001632256,0.00001148666,0.00004295198,0.0001231672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5893029,"threshold_uncertainty_score":0.9992702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479264831972201,"score_gpt":0.2615313338760334,"score_spread":0.2367386855563114,"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."}}