{"id":"W2037262938","doi":"10.1016/j.visres.2009.06.019","title":"Sensitivity to spatial frequency and orientation content is not specific to face perception","year":2009,"lang":"en","type":"article","venue":"Vision Research","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"National Eye Institute; Directorate for Biological Sciences; Royal Society","keywords":"Orientation (vector space); Perception; Face (sociological concept); Spatial frequency; Psychophysics; Artificial intelligence; Sensitivity (control systems); Computer vision; Face perception; Psychology; Filter (signal processing); Object (grammar); Facial recognition system; Pattern recognition (psychology); Computer science; Communication; Mathematics; Optics; Physics; Geometry; Neuroscience","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":[0.0004003931,0.0002790162,0.0004873672,0.0006232882,0.0002657664,0.0006842196,0.0003968791,0.0006875841,0.005353322],"category_scores_gemma":[0.003246525,0.0003882865,0.0004068218,0.0002055879,0.0006398265,0.001062547,0.0006390602,0.0006274721,0.0007173714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002612847,"about_ca_system_score_gemma":0.0002262403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070521,"about_ca_topic_score_gemma":0.0009465804,"domain_scores_codex":[0.9996305,0.00003861497,0.00001938733,0.000124727,0.0001213222,0.0000654486],"domain_scores_gemma":[0.9975154,0.0009481615,0.0004539036,0.0004675345,0.0002937564,0.0003213104],"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":[0.0006757758,0.00007350319,0.0174272,0.00008583777,0.000064939,0.0001734164,0.00009615685,0.0001742814,0.9591984,0.0006378693,0.0003761422,0.02101653],"study_design_scores_gemma":[0.00004875321,0.0006550255,0.8090775,0.0000577602,0.0001144917,0.004844336,0.0002422037,0.002795663,0.1750624,0.005304536,0.001745819,0.00005153644],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982466,0.0006953235,0.005883924,0.000210751,0.0001234662,0.00003126684,0.0002187088,0.0001114359,0.01025918],"genre_scores_gemma":[0.9956046,0.000320617,0.001213805,0.0003016865,0.00005326465,0.00001651338,0.0002540557,0.00005471343,0.002180758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005353322,"threshold_uncertainty_score":0.01790869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2621548566529195,"score_gpt":0.4419090090993159,"score_spread":0.1797541524463963,"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."}}