{"id":"W4378976073","doi":"10.1523/eneuro.0450-22.2023","title":"Target–Distractor Competition Modulates Saccade Trajectories in Space and Object Space","year":2023,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; York University","funders":"Canadian Institutes of Health Research","keywords":"Saccade; Saccadic masking; Similarity (geometry); Eye movement; Object (grammar); Psychology; Artificial intelligence; Task (project management); Competition (biology); Space (punctuation); Computer science; Mathematics; Computer vision; Cognitive psychology; Communication; Biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006620598,0.0001509458,0.000169696,0.0001106741,0.0001274265,0.00003414201,0.0001038665,0.00004986373,0.0000294292],"category_scores_gemma":[0.0001708347,0.0001301625,0.00003292123,0.0004581581,0.0001716048,0.0001479916,0.0000686708,0.0002035925,0.00008390877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001146302,"about_ca_system_score_gemma":0.000006255696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003779288,"about_ca_topic_score_gemma":0.00002726465,"domain_scores_codex":[0.9989134,0.00008987261,0.0001353105,0.0004338849,0.0001390276,0.0002884751],"domain_scores_gemma":[0.9995583,0.0002134703,0.00004005087,0.0001286598,0.000008833534,0.00005073768],"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":[0.00003114956,0.00006013786,0.05683366,0.0000141231,0.000001201426,0.0002390133,0.0003453249,0.00005602377,0.9403491,0.001020203,0.0008030732,0.0002469889],"study_design_scores_gemma":[0.0003253343,0.000119573,0.5233575,0.00001429518,0.000005056555,0.00002260208,0.0001197509,0.00008220709,0.471406,0.001622987,0.002732866,0.0001918729],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949258,0.00004748823,0.000002336961,0.00323897,0.0005515096,0.0001378309,0.00002574687,0.0002014746,0.0008688347],"genre_scores_gemma":[0.9984326,0.0001405832,0.00002408756,0.0002783985,0.00006351358,0.00001395519,0.000003232292,0.00001537241,0.001028268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4689431,"threshold_uncertainty_score":0.5307875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08150300088252276,"score_gpt":0.3378659269162801,"score_spread":0.2563629260337574,"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."}}