{"id":"W2150060182","doi":"10.3389/fncom.2013.00021","title":"Local field potentials reflect multiple spatial scales in V4","year":2013,"lang":"en","type":"article","venue":"Frontiers in Computational Neuroscience","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Neurological Institute and Hospital; McGill University","funders":"Canadian Institutes of Health Research; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Local field potential; Field (mathematics); Neuroscience; Psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001665359,0.0002568178,0.0002385092,0.001038755,0.0002752781,0.0006621482,0.0003788488,0.0003066568,0.0009599463],"category_scores_gemma":[0.001336325,0.0002365308,0.0002927995,0.0003512564,0.0004636551,0.0006132024,0.0006560142,0.0002530473,0.000127352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006656405,"about_ca_system_score_gemma":0.0003179719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191062,"about_ca_topic_score_gemma":0.009922796,"domain_scores_codex":[0.9998887,0.00001619818,0.000004528882,0.00003515607,0.00002441026,0.00003096963],"domain_scores_gemma":[0.9997879,0.0000632427,0.00004255277,0.00002348542,0.00005477141,0.00002808519],"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":[0.000383213,0.00005647924,0.1050911,0.0001578882,0.0001195272,0.0003713829,0.0005858507,0.01813292,0.8234212,0.001708374,0.0004275996,0.04954443],"study_design_scores_gemma":[0.00003776345,0.0001673774,0.8525122,0.00003018366,0.00009458477,0.0006216369,0.0004523104,0.09021939,0.04976431,0.004844121,0.001200881,0.00005520854],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941359,0.0001337729,0.004679477,0.00003407179,0.000002552099,0.000007265206,0.00008375846,0.00007272822,0.0008503975],"genre_scores_gemma":[0.9984978,0.00002942419,0.00119994,0.000008325476,0.000002376894,0.000003534399,0.00006130635,0.0000131981,0.0001840024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01191062,"threshold_uncertainty_score":0.02368259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007648711472084798,"score_gpt":0.2172204671646094,"score_spread":0.2095717556925246,"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."}}