{"id":"W2109348842","doi":"10.1167/11.10.4","title":"Spatial updating across saccades during manual interception","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Interception; Gaze; Saccade; Computer science; Artificial intelligence; Computer vision; Fixation (population genetics); Eye movement; Smooth pursuit; Communication; Psychology; Mathematics; Cognitive psychology; Population; Medicine","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":[0.000402868,0.00009273488,0.0001323395,0.00009434556,0.0002084958,0.00008298316,0.000202741,0.00006491785,0.0007579955],"category_scores_gemma":[0.0001981418,0.00007319163,0.00008369397,0.0001047092,0.00004112572,0.0006024046,0.00007107805,0.0002658975,0.0001026384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003954604,"about_ca_system_score_gemma":0.00001474502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006249669,"about_ca_topic_score_gemma":0.000003087418,"domain_scores_codex":[0.9988768,0.00009670175,0.0003914308,0.0001379836,0.0003215668,0.0001755451],"domain_scores_gemma":[0.9993661,0.00002387339,0.0003744033,0.00007825866,0.00007092818,0.00008642711],"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":[0.0001747515,0.00007278678,0.0001691404,0.00001552422,0.000001165482,0.00002239391,0.003873201,0.000003242045,0.9605759,0.0000354085,0.00003438041,0.03502208],"study_design_scores_gemma":[0.0007911058,0.0008263857,0.06746847,0.0002705559,0.000008722451,0.0004778392,0.00180098,0.0005658027,0.9266354,0.0008445494,0.0001526433,0.0001575084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926571,0.00000626496,0.005994234,0.00004716629,0.0006011855,0.00003419837,0.000001510536,0.00002449054,0.0006338247],"genre_scores_gemma":[0.9981737,0.00003153152,0.001171483,0.0001840705,0.0002550369,3.547177e-7,2.237879e-7,0.00001269927,0.0001709687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06729934,"threshold_uncertainty_score":0.8299519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07167490281259604,"score_gpt":0.3806565385584342,"score_spread":0.3089816357458381,"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."}}