{"id":"W1982955601","doi":"10.1016/j.visres.2014.10.010","title":"Target frequency influences antisaccade endpoint bias: Evidence for perceptual averaging","year":2014,"lang":"en","type":"article","venue":"Vision Research","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Saccade; Perception; Antisaccade task; Psychology; Eccentricity (behavior); Fixation (population genetics); Stimulus (psychology); Fixation point; Eye movement; Cognitive psychology; Audiology; Mathematics; Computer science; Artificial intelligence; Physics; Neuroscience; Social psychology; Medicine; Population; Acoustics","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":[0.0009814907,0.0004142312,0.0005348705,0.0006193925,0.0002215291,0.0009644079,0.0003814864,0.0004294255,0.003939024],"category_scores_gemma":[0.01168415,0.0004403187,0.0003086663,0.0003549084,0.0003851178,0.0006246986,0.0004294784,0.0005551087,0.0005946125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168234,"about_ca_system_score_gemma":0.0003029613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001737022,"about_ca_topic_score_gemma":0.001980213,"domain_scores_codex":[0.999272,0.0001067962,0.00005488722,0.0002530501,0.0002514633,0.00006174516],"domain_scores_gemma":[0.994809,0.002740736,0.001075107,0.0006699861,0.0004535169,0.0002515687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004798944,0.0003207261,0.05310423,0.0002273595,0.0002235673,0.0001329063,0.0003819225,0.0003985932,0.9054576,0.0006733124,0.00062831,0.03365256],"study_design_scores_gemma":[0.00007087717,0.0003788458,0.9786603,0.00001540958,0.0001465822,0.0002051691,0.00005730215,0.001733799,0.01737571,0.0009978126,0.0003402244,0.00001810532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889705,0.0002863957,0.004377092,0.0000870665,0.00009268781,0.00004108175,0.0002368912,0.0001226381,0.005785726],"genre_scores_gemma":[0.9961128,0.0001820865,0.001855216,0.0001220699,0.00007609898,0.00002934882,0.0002473263,0.0002528091,0.001122193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003939024,"threshold_uncertainty_score":0.01317739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4766877771417531,"score_gpt":0.5232475189022691,"score_spread":0.04655974176051592,"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."}}