{"id":"W2760662360","doi":"10.1101/193250","title":"Predictive orientation remapping maintains a stable retinal percept","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Percept; Saccade; Perception; Orientation (vector space); Computer science; Computer vision; Artificial intelligence; Motion perception; Torsion (gastropod); Eye movement; Saccadic masking; Retinal; Psychology; Cognitive psychology; Neuroscience; Mathematics; Geometry; Biology; Anatomy; Ophthalmology; Medicine","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":[0.0001880078,0.0002094932,0.0002315676,0.0002657178,0.0001902674,0.0006062577,0.0003472352,0.0002004455,0.00103426],"category_scores_gemma":[0.0012883,0.0001791586,0.000103108,0.0001762027,0.0003389584,0.0004811534,0.000616395,0.0005254553,0.0002375503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003806914,"about_ca_system_score_gemma":0.0002945553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127302,"about_ca_topic_score_gemma":0.001258922,"domain_scores_codex":[0.9998938,0.000007833474,0.000007199254,0.00002764071,0.00004115559,0.00002244942],"domain_scores_gemma":[0.9994431,0.00007583461,0.000130746,0.0001612454,0.0001172307,0.0000718126],"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":[0.0001428206,0.00001930088,0.001303968,0.00001886111,0.000007654417,0.00008002495,0.00006614792,0.001085591,0.9858871,0.0007154305,0.0001083554,0.01056471],"study_design_scores_gemma":[0.00004201542,0.0006696958,0.1559883,0.00003922824,0.00003785741,0.0007616383,0.0003834151,0.06225841,0.7713977,0.005550136,0.002812036,0.00005955585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859698,0.0001492224,0.01180202,0.0000847125,0.00002716959,0.00001030403,0.00006464568,0.0002511625,0.001640932],"genre_scores_gemma":[0.9972861,0.00003803312,0.002124839,0.00002346894,0.000004114238,0.000004099414,0.00004675032,0.00003734697,0.000435295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00127302,"threshold_uncertainty_score":0.00345993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194688852143079,"score_gpt":0.2879957596143611,"score_spread":0.2460488710929303,"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."}}