{"id":"W927455011","doi":"10.1017/cbo9780511750540.028","title":"Object updating: a force for perceptual continuity and scene stability in human vision","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Object (grammar); Perception; Illusion; Asynchrony (computer programming); Computer science; Visual masking; Computer vision; Artificial intelligence; Point (geometry); Masking (illustration); Visual perception; Cognitive psychology; Psychology; Mathematics; Asynchronous communication","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005489429,0.0002110953,0.0002039823,0.0003212687,0.0003444628,0.00208556,0.0005657087,0.000980556,0.002460934],"category_scores_gemma":[0.0009579993,0.0002589932,0.0002265382,0.0002827384,0.004527916,0.004694561,0.0007542903,0.001445665,0.0004571183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005461854,"about_ca_system_score_gemma":0.0003552665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004420853,"about_ca_topic_score_gemma":0.0003539069,"domain_scores_codex":[0.9998375,0.00002532482,0.000008257639,0.00005083865,0.00006404972,0.00001404603],"domain_scores_gemma":[0.9997305,0.0001612238,0.00002436665,0.00003802899,0.00002958341,0.00001634131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006980896,0.00001539771,0.0004538189,0.0001490106,0.00001147991,0.0001768026,0.001657552,0.0007658475,0.01379258,0.8795174,0.003410576,0.09997985],"study_design_scores_gemma":[0.00002665243,0.00007626288,0.003411081,0.00008442932,0.0000184452,0.0007159184,0.0003351957,0.003645679,0.004362778,0.922892,0.06440426,0.00002738448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1492946,0.07645144,0.3667681,0.02409493,0.001613019,0.0000854827,0.0001139054,0.001191292,0.3803872],"genre_scores_gemma":[0.8298787,0.01980088,0.09227236,0.002187222,0.0009858666,0.00007536053,0.00007690553,0.0002538177,0.05446884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002460934,"threshold_uncertainty_score":0.008232594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05591634269689821,"score_gpt":0.2829258826513091,"score_spread":0.2270095399544109,"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."}}