{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003623501,0.0004408928,0.0003915773,0.0003451999,0.0001509707,0.0004188476,0.0002417568,0.0002957766,0.0009206131],"category_scores_gemma":[0.006532676,0.0002217859,0.0002057055,0.0002259114,0.0002907651,0.0003326325,0.0004563735,0.0004921418,0.0001583704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089489,"about_ca_system_score_gemma":0.0002436783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004452419,"about_ca_topic_score_gemma":0.004299868,"domain_scores_codex":[0.9996159,0.00006009933,0.00004678224,0.0000836602,0.0001429542,0.00005045353],"domain_scores_gemma":[0.9960713,0.001823218,0.001004584,0.0005165754,0.0004535037,0.0001307973],"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":[0.001404991,0.0001284074,0.02289716,0.000105076,0.00006141256,0.0002064125,0.0004939563,0.001879795,0.9372063,0.0001088992,0.00007810453,0.03542946],"study_design_scores_gemma":[0.0001237566,0.002959539,0.6719606,0.0000426813,0.0001484219,0.0007009371,0.0002285751,0.02164975,0.3009714,0.0004924842,0.0006717256,0.00005016846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982272,0.00009762141,0.001365767,0.000008488011,0.000004324772,0.000006024771,0.00002685715,0.00006594713,0.0001977934],"genre_scores_gemma":[0.9987055,0.00006287292,0.0008197701,0.000007855987,0.000004307793,0.000005408143,0.00006651016,0.00003070937,0.0002972166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004452419,"threshold_uncertainty_score":0.008852959,"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."}}