{"id":"W2133971106","doi":"10.3389/fnsys.2015.00122","title":"Saccade-induced image motion cannot account for post-saccadic enhancement of visual processing in primate MST","year":2015,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Centre of Excellence for Integrative Brain Function, Australian Research Council; National Health and Medical Research Council; National Eye Institute; Australian Research Council; National Institutes of Health; Medical Research Council; Research to Prevent Blindness","keywords":"Saccadic masking; Saccade; Primate; Saccadic suppression of image displacement; Visual processing; Computer vision; Eye movement; Artificial intelligence; Computer science; Neuroscience; Psychology; Perception","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001295623,0.0002584146,0.0004315921,0.0005701436,0.0001503071,0.0002280251,0.0005868659,0.0001200808,0.000002021759],"category_scores_gemma":[0.001034289,0.0002497118,0.00005108764,0.001213637,0.0001878416,0.001072826,0.00008835516,0.0002265313,0.000005829498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003375521,"about_ca_system_score_gemma":0.0004029401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117433,"about_ca_topic_score_gemma":0.00001195959,"domain_scores_codex":[0.9967318,0.0002413684,0.0007689337,0.0008585672,0.000786936,0.0006123662],"domain_scores_gemma":[0.9989326,0.00003065548,0.0004315475,0.0002362925,0.0001986209,0.0001702576],"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":[0.0001043714,0.000175916,0.0005315716,0.0002578601,2.1785e-7,0.000008223723,0.001363419,0.0002245461,0.9918948,0.00006971445,0.0001557465,0.005213628],"study_design_scores_gemma":[0.002055642,0.001011482,0.001545357,0.000488274,0.000008935583,0.00003842791,0.002594009,0.1991567,0.7914835,0.0003801078,0.0006804895,0.0005571467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8432078,0.00009986106,0.1506481,0.0001473396,0.004256465,0.001274212,0.0000238904,0.00007383862,0.0002684489],"genre_scores_gemma":[0.9976855,0.00001391475,0.00140187,0.0004615953,0.00006050369,0.0001611886,0.000002781274,0.00003109916,0.0001815359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2004113,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06798211097397834,"score_gpt":0.3497248858365305,"score_spread":0.2817427748625522,"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."}}