{"id":"W1838078966","doi":"10.1007/s00221-015-4468-5","title":"The neural network of saccadic foreknowledge","year":2015,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Foreknowledge; Saccadic masking; Saccadic eye movement; Saccade; Antisaccade task; Eye movement; Stimulus (psychology); Psychology; Neuroscience; Cognitive psychology","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":[0.0002602145,0.0002037715,0.0002056589,0.0005520899,0.000183199,0.000877674,0.0003080272,0.0004307256,0.002596531],"category_scores_gemma":[0.002995855,0.0002275572,0.0001542794,0.0005724442,0.0004777824,0.0008841868,0.0003114619,0.0004190221,0.0002471066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005282066,"about_ca_system_score_gemma":0.0005698921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004017106,"about_ca_topic_score_gemma":0.004176041,"domain_scores_codex":[0.9998767,0.00002744685,0.000005102077,0.00003588033,0.0000315193,0.00002332745],"domain_scores_gemma":[0.9990369,0.0005713801,0.000151853,0.00005430922,0.0001092546,0.00007640196],"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":[0.002023314,0.0004100429,0.1124991,0.0004103547,0.0004792125,0.0007302667,0.001145414,0.03087173,0.6303049,0.03899517,0.002254331,0.1798762],"study_design_scores_gemma":[0.00008488267,0.0002267959,0.8762996,0.0000399956,0.0001058336,0.0005089897,0.0003456612,0.05671274,0.01843681,0.04598556,0.001203869,0.00004935991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725418,0.0007196431,0.01580105,0.0006297669,0.0000466104,0.00003962048,0.0004051334,0.00008078161,0.009735523],"genre_scores_gemma":[0.9968961,0.0003341077,0.001581778,0.00004736337,0.00001661823,0.00002144304,0.0001821784,0.00001407189,0.0009062941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004017106,"threshold_uncertainty_score":0.008686244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.529662420033144,"score_gpt":0.5423590710023662,"score_spread":0.01269665096922223,"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."}}