{"id":"W1992011226","doi":"10.1186/1471-2202-9-98","title":"Parametric study of EEG sensitivity to phase noise during face processing","year":2008,"lang":"en","type":"article","venue":"BMC Neuroscience","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Parametric statistics; Visual processing; Noise (video); Computer science; Stimulus (psychology); Perception; Pattern recognition (psychology); Amplitude; Artificial intelligence; Visual perception; Psychology; Speech recognition; Computer vision; Mathematics; Statistics; Physics; Optics; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002294304,0.0001561104,0.0001905992,0.0003505627,0.0004853012,0.00005178162,0.0002247021,0.00002965148,0.0000146684],"category_scores_gemma":[0.001811018,0.0001505143,0.00004518095,0.002370869,0.00019189,0.000436287,0.0001151036,0.0001428714,0.00006707587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002930735,"about_ca_system_score_gemma":0.00007506995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000235266,"about_ca_topic_score_gemma":0.0000160247,"domain_scores_codex":[0.9977819,0.0002732802,0.0002711912,0.0007078802,0.0006301411,0.0003356494],"domain_scores_gemma":[0.9991925,0.0001484175,0.0001261844,0.0002837368,0.00006100726,0.0001881032],"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":[0.00005668213,0.00107174,0.005520752,0.00002318891,8.86607e-8,0.00005588049,0.001032052,0.001919841,0.9886167,0.000001114787,0.000007946483,0.00169403],"study_design_scores_gemma":[0.001530571,0.0007775761,0.4014018,0.0000249434,0.000006289587,0.0003114063,0.000498871,0.01679126,0.5783027,0.000002886666,0.00006287373,0.0002887566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996174,0.00000215107,0.002663872,0.00003127028,0.0002235522,0.0006040009,0.00001195091,0.0001124582,0.0001767283],"genre_scores_gemma":[0.9992216,0.00001002984,0.0001465689,0.0003175592,0.00001782238,0.00001885136,2.022205e-7,0.00001314134,0.0002542106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.410314,"threshold_uncertainty_score":0.6137797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1502948607733017,"score_gpt":0.3567808047835545,"score_spread":0.2064859440102527,"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."}}