{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001148223,0.0002612536,0.0007050393,0.0005661467,0.0003634908,0.00115565,0.000406653,0.0006987563,0.005185781],"category_scores_gemma":[0.01466499,0.0003551478,0.0004263389,0.0003695911,0.0003711196,0.002578563,0.0004806414,0.001439272,0.001060056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032076,"about_ca_system_score_gemma":0.0003527665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415895,"about_ca_topic_score_gemma":0.002156798,"domain_scores_codex":[0.9997589,0.00002421972,0.00001252075,0.0001090103,0.00005682579,0.00003846291],"domain_scores_gemma":[0.9932188,0.00411342,0.0006067363,0.0008061749,0.0007563529,0.000498588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004186481,0.0004634582,0.2921904,0.001014154,0.0004700325,0.0002748376,0.001413349,0.006419039,0.3100066,0.03433779,0.01504743,0.3341764],"study_design_scores_gemma":[0.00009541868,0.0008796548,0.8599407,0.0001545496,0.0002842201,0.001333293,0.0005405411,0.01925101,0.03965542,0.0699361,0.007749972,0.0001790189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393438,0.003292014,0.03987272,0.00145928,0.0004705797,0.00008212814,0.001937181,0.0008536109,0.01268872],"genre_scores_gemma":[0.989163,0.000574331,0.005963965,0.0003043473,0.0001312279,0.00003893461,0.0009390126,0.0003672679,0.002517855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005185781,"threshold_uncertainty_score":0.01734817,"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."}}