{"id":"W2901784223","doi":"10.1016/j.neuropsychologia.2018.11.011","title":"Color and spatial frequency differentially impact early stages of perceptual expertise training","year":2018,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Army Research Institute for the Behavioral and Social Sciences","keywords":"Psychology; Categorization; Perception; Cognitive psychology; Congruence (geometry); Communication; Training (meteorology); Perceptual learning; Audiology; Artificial intelligence; Social psychology; Neuroscience; Computer science","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":[],"category_scores_codex":[0.00008031769,0.0001631683,0.0001859765,0.0001032514,0.0001148295,0.00004961919,0.0001577335,0.00009412273,0.002115173],"category_scores_gemma":[0.0002885863,0.0001326368,0.00006768624,0.0001429501,0.0005222269,0.0001445975,0.00003726893,0.0001601821,0.0001316707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001343149,"about_ca_system_score_gemma":0.00002056123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015898,"about_ca_topic_score_gemma":0.00002638533,"domain_scores_codex":[0.9986488,0.0002316442,0.0002341236,0.000425203,0.0001965554,0.0002636249],"domain_scores_gemma":[0.9994533,0.00008689709,0.00009894348,0.0001972194,0.00005301199,0.0001106031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000104128,0.00007169403,0.00992353,0.000003972393,0.000002324818,0.000009434241,0.003533089,1.858525e-7,0.9432779,0.00003498328,0.00008318573,0.04295558],"study_design_scores_gemma":[0.0007194862,0.002157066,0.9637229,0.00001600471,0.000008513378,0.0000502344,0.0001421459,0.00009903673,0.03275914,0.000123655,0.00003196638,0.0001698069],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955148,0.000005828103,0.0004095638,0.00007827024,0.0004757296,0.0001761646,0.0000549557,0.00009210947,0.003192634],"genre_scores_gemma":[0.9990389,0.00005034118,0.0001269135,0.0004944686,0.0001498452,0.000007928235,0.000002704728,0.00002037005,0.0001085559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537994,"threshold_uncertainty_score":0.998797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08842229116480001,"score_gpt":0.3436285865149252,"score_spread":0.2552062953501252,"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."}}