{"id":"W2069472809","doi":"10.1167/1.3.241","title":"Flicker motion aftereffect produces fMRI activation in MT","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Flicker; Percept; Grating; Psychology; Functional magnetic resonance imaging; Perception; Motion (physics); Artificial intelligence; Audiology; Physics; Computer vision; Computer science; Optics; Neuroscience; Medicine","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":[0.0001342422,0.0001991615,0.0001813296,0.0002296941,0.00009316379,0.0001154306,0.00007790379,0.0002220953,0.002787136],"category_scores_gemma":[0.0004935455,0.0001167332,0.0001261853,0.00006888284,0.0002495973,0.0001371609,0.0001612572,0.0002017522,0.0001647987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841596,"about_ca_system_score_gemma":0.00007838106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004381368,"about_ca_topic_score_gemma":0.0006430927,"domain_scores_codex":[0.9999548,0.000007512573,0.000002655582,0.00001325688,0.000009374637,0.0000123571],"domain_scores_gemma":[0.9998455,0.00005764013,0.00003351887,0.00001266285,0.00001539308,0.00003524425],"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":[0.0004525932,0.00002535427,0.001623937,0.00002707582,0.00000644797,0.000130638,0.00001816561,0.00002666286,0.9952401,0.00002165848,0.00002766418,0.0023997],"study_design_scores_gemma":[0.00007411729,0.00149462,0.7154406,0.00001162734,0.00004726951,0.002193734,0.00004843443,0.001412413,0.2784786,0.000157247,0.0006308092,0.00001051424],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981273,0.0001722472,0.001009241,0.00002486986,0.000004345311,0.00001255868,0.00003984948,0.00002247208,0.0005870558],"genre_scores_gemma":[0.9983771,0.00009563391,0.000797067,0.00003523373,0.00001152934,0.0000161986,0.00008582302,0.000006694464,0.0005747062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002787136,"threshold_uncertainty_score":0.009323895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01516684458027846,"score_gpt":0.2850418433414163,"score_spread":0.2698749987611379,"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."}}