{"id":"W2080239637","doi":"10.1016/j.neuron.2011.10.013","title":"Multifocal Attention Filters Targets from Distracters within and beyond Primate MT Neurons' Receptive Field Boundaries","year":2011,"lang":"en","type":"article","venue":"Neuron","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Receptive field; Neuroscience; Object (grammar); Psychology; Visual space; Primate; Visual field; Macaque; Cognitive psychology; Communication; Computer science; Artificial intelligence; Perception","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":[0.000231326,0.0002676228,0.0002568886,0.0004480885,0.0003307822,0.0007421789,0.0003652829,0.00048348,0.00217878],"category_scores_gemma":[0.00178572,0.0002505525,0.0002489575,0.000190823,0.0003020139,0.001357875,0.001126796,0.0005285444,0.0003838717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007356454,"about_ca_system_score_gemma":0.0004115296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002728996,"about_ca_topic_score_gemma":0.003700452,"domain_scores_codex":[0.9998727,0.000009081756,0.000004259538,0.00003449195,0.0000351811,0.0000442624],"domain_scores_gemma":[0.999494,0.0002224922,0.00006802299,0.00004288876,0.0000906824,0.00008188199],"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":[0.0001542552,0.00001394314,0.001435772,0.00004950109,0.00001142536,0.00006732417,0.0001668808,0.001118362,0.9571799,0.002478243,0.0002855889,0.03703887],"study_design_scores_gemma":[0.00006216558,0.0005477809,0.2492723,0.0001671865,0.0001385335,0.00213901,0.0006885583,0.172299,0.5326806,0.03425313,0.007669656,0.00008194376],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867043,0.001378956,0.1199991,0.0003990788,0.00007570817,0.00002203215,0.0001283613,0.0002993183,0.01065453],"genre_scores_gemma":[0.9884076,0.0002052613,0.009366419,0.0001196767,0.00002634678,0.00001026823,0.00006587478,0.00005880969,0.001739676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002728996,"threshold_uncertainty_score":0.007288754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05046320915996966,"score_gpt":0.2889153469903828,"score_spread":0.2384521378304131,"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."}}