{"id":"W2147464467","doi":"10.1016/j.visres.2009.05.005","title":"Time course of visual object categorization: Fastest does not necessarily mean first","year":2009,"lang":"en","type":"article","venue":"Vision Research","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"James S. McDonnell Foundation; National Science Foundation","keywords":"Categorization; Course (navigation); Object (grammar); Psychology; Cognitive psychology; Artificial intelligence; Computer science; Physics; Astronomy","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":["insufficient_payload"],"category_scores_codex":[0.0009287421,0.0001133341,0.000159715,0.000288427,0.0003499906,0.0001097274,0.0002659082,0.0001013403,0.002535657],"category_scores_gemma":[0.0005610277,0.00008167036,0.00005803266,0.0008798466,0.0002471444,0.0002649402,0.00006519941,0.0002873676,0.001430245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003917261,"about_ca_system_score_gemma":0.00009506513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003460863,"about_ca_topic_score_gemma":0.00003120794,"domain_scores_codex":[0.997592,0.0004212515,0.0002561401,0.000393391,0.0009906228,0.000346547],"domain_scores_gemma":[0.9986968,0.0005587554,0.00006050458,0.0002422011,0.0003025491,0.0001392061],"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":[0.0001099251,0.0004521138,0.0001145038,0.00002363169,0.000001453261,0.000007950232,0.0006363562,0.0000451743,0.9611338,0.0002886267,0.002512977,0.0346735],"study_design_scores_gemma":[0.0009088043,0.001801002,0.01553326,0.0001177247,0.000005757622,0.00001251638,0.0006100655,0.02626801,0.9472611,0.0007867711,0.006426273,0.0002687327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856084,0.00001241052,0.0001870265,0.00471347,0.0001555941,0.0004104291,0.00004968653,0.00009409584,0.008768861],"genre_scores_gemma":[0.9960123,0.0001537756,0.00003858039,0.0002606448,0.00009652977,0.000006370759,0.00001990987,0.00001240116,0.003399516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03440477,"threshold_uncertainty_score":0.9993473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0725039996146116,"score_gpt":0.4153519586817321,"score_spread":0.3428479590671205,"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."}}