{"id":"W1685966668","doi":"10.1167/15.4.12","title":"Distinct cognitive mechanisms involved in the processing of single objects and object ensembles","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Eye Institute; Harvard University","keywords":"Object (grammar); Perception; Texture (cosmology); Artificial intelligence; Feature (linguistics); Cognitive neuroscience of visual object recognition; Pattern recognition (psychology); Psychology; Neuroimaging; Visual processing; Computer science; Cognitive psychology; Neuroscience; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001077786,0.0000970983,0.0001926283,0.0001554744,0.00007840008,0.00009046399,0.0001520176,0.00005262667,0.000007137686],"category_scores_gemma":[0.001236586,0.00005938025,0.00003862561,0.0002970429,0.00007587445,0.000341399,0.00003695213,0.0001830187,0.000002141745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483654,"about_ca_system_score_gemma":0.0001036795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003708134,"about_ca_topic_score_gemma":0.00001171477,"domain_scores_codex":[0.9986379,0.0002668966,0.0003483574,0.0001291387,0.000492831,0.0001249324],"domain_scores_gemma":[0.9990652,0.0002214036,0.0004025259,0.00005549593,0.0001816951,0.00007372694],"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":[0.0002168369,0.0002220581,0.00007718789,0.00004418263,0.000001098907,0.00003237896,0.00673704,0.000003808661,0.9741607,0.000116821,0.00003543437,0.01835241],"study_design_scores_gemma":[0.003654456,0.005938525,0.007545004,0.002257893,0.00005977139,0.0006150418,0.02788324,0.002737329,0.910807,0.03810247,0.00008907008,0.0003102712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946408,0.0001765528,0.004229266,0.0001693548,0.0001253486,0.00009031702,0.000001612168,0.000007157501,0.0005595883],"genre_scores_gemma":[0.9989488,0.00002295225,0.0005994765,0.0003584354,0.0000421347,8.171602e-7,3.292538e-7,0.000008885761,0.00001818166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06335381,"threshold_uncertainty_score":0.2421456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09497352138581244,"score_gpt":0.3501152478465344,"score_spread":0.255141726460722,"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."}}