{"id":"W4250779158","doi":"10.1109/ieeeconf53345.2021.9723396","title":"Tracking the dynamics of perisaccadic visual signals with magnetoencephalography","year":2021,"lang":"en","type":"article","venue":"2021 55th Asilomar Conference on Signals, Systems, and Computers","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Magnetoencephalography; Computer science; Saccade; Eye movement; Computer vision; Visual cortex; Artificial intelligence; Stimulus (psychology); Visual perception; Visual processing; Perception; Neuroscience; Electroencephalography; Psychology; Cognitive psychology","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":[0.0002141059,0.0002284999,0.0001861476,0.0005886657,0.0001158883,0.0005355914,0.0001784781,0.0004450667,0.0007968761],"category_scores_gemma":[0.0008199047,0.0001312861,0.0001032617,0.0005686361,0.0003232182,0.0004954389,0.0002655339,0.0002784501,0.0002650571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394884,"about_ca_system_score_gemma":0.0001256525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006981026,"about_ca_topic_score_gemma":0.001784955,"domain_scores_codex":[0.9999206,0.00002027755,0.000005103274,0.00002200333,0.00002371176,0.000008248573],"domain_scores_gemma":[0.99988,0.00006255524,0.00001826114,0.00001494318,0.00001594256,0.000008328888],"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":[0.0002067479,0.00003988529,0.007228771,0.0002058871,0.00005766011,0.0003258129,0.0001809399,0.002730908,0.7898231,0.00313776,0.001571733,0.1944908],"study_design_scores_gemma":[0.0001242411,0.0006587087,0.4171275,0.0002643741,0.0002040814,0.005364145,0.0005501886,0.131605,0.3761245,0.03442142,0.03337315,0.0001824936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4641092,0.005783973,0.5124786,0.001222135,0.0001818704,0.0000910141,0.0009072427,0.001254537,0.01397144],"genre_scores_gemma":[0.8542462,0.003012128,0.1401192,0.0002138112,0.0001311461,0.00007470432,0.0002618861,0.00006695277,0.001874098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007968761,"threshold_uncertainty_score":0.002665818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03321175576721518,"score_gpt":0.2539617283799013,"score_spread":0.2207499726126861,"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."}}