{"id":"W2170907775","doi":"10.1523/jneurosci.1868-11.2011","title":"Neural Basis of Adaptive Response Time Adjustment during Saccade Countermanding","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Mental Health; Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; National Science Foundation; National Institutes of Health; National Eye Institute; Vanderbilt University","keywords":"Saccade; Macaque; Stop signal; Accumulator (cryptography); Neuroscience; Psychology; Computer science; Artificial intelligence; Eye movement; Algorithm","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":[0.0003232752,0.0001161083,0.0001643493,0.0002073664,0.0001117804,0.0003900226,0.000155874,0.0002347114,0.0003320853],"category_scores_gemma":[0.00213165,0.0001694022,0.0001139712,0.0001031597,0.0003638725,0.0002248331,0.0002274345,0.0002850569,0.00007029562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947559,"about_ca_system_score_gemma":0.0001759317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009845204,"about_ca_topic_score_gemma":0.0009846073,"domain_scores_codex":[0.9998895,0.00002130965,0.000009379031,0.00003892632,0.00002137168,0.00001952314],"domain_scores_gemma":[0.9995296,0.0001425346,0.0001623415,0.00005807307,0.00005981272,0.00004769313],"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":[0.0003348735,0.00004403859,0.02527692,0.0000414114,0.00005238407,0.0002282951,0.0005626032,0.003823471,0.9293358,0.003197509,0.0001309864,0.03697158],"study_design_scores_gemma":[0.0000719522,0.0005283817,0.7929431,0.00002648352,0.0001100227,0.001157195,0.0002781413,0.1034612,0.08589603,0.01395827,0.001496509,0.00007270704],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917457,0.0001054495,0.007147759,0.00008148646,0.000006406338,0.000007994059,0.00002580021,0.00004367462,0.0008358075],"genre_scores_gemma":[0.9985185,0.00003749518,0.001238156,0.00001587441,0.000003131688,0.000006264597,0.00001924525,0.00001025343,0.0001512272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009845204,"threshold_uncertainty_score":0.001957655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749914191822728,"score_gpt":0.2596103421790514,"score_spread":0.2021112002608242,"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."}}