{"id":"W2547400687","doi":"10.1167/16.14.1","title":"Eye movement accuracy determines natural interception strategies","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"","keywords":"Interception; Eye movement; Smooth pursuit; Artificial intelligence; Computer science; Perception; Heuristics; Computer vision; Saccadic masking; Cognitive psychology; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002378009,0.00009468295,0.000121471,0.0001277052,0.00008212774,0.0001356525,0.0001979542,0.00003998553,0.0003761899],"category_scores_gemma":[0.0003444263,0.00005014318,0.00008606688,0.00008812252,0.00004098407,0.001212152,0.0000405555,0.0001140713,0.00008176827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004888844,"about_ca_system_score_gemma":0.00003893253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.108251e-7,"about_ca_topic_score_gemma":0.000001069061,"domain_scores_codex":[0.9989861,0.00008319545,0.0003351956,0.0001230872,0.0003448879,0.0001275701],"domain_scores_gemma":[0.9993128,0.0001023098,0.0003311998,0.00008582282,0.0001035549,0.00006435491],"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":[0.00007711595,0.00003910612,0.00001801763,0.000006749598,9.203993e-7,0.00000868199,0.0001574601,0.000002097914,0.8623941,0.0001516188,0.0003358161,0.1368083],"study_design_scores_gemma":[0.001723895,0.001899401,0.01510875,0.0009032481,0.00001701114,0.0001382512,0.0007252981,0.0007698881,0.960233,0.01371139,0.004486017,0.0002838911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894004,0.00002542852,0.008141536,0.001159607,0.000985167,0.0000430013,0.000001093645,0.00002086806,0.0002229093],"genre_scores_gemma":[0.9978276,0.0001505687,0.000392928,0.0007136622,0.0002279611,5.490094e-7,1.15614e-7,0.000008516628,0.0006780535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365244,"threshold_uncertainty_score":0.4119016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0434642899019958,"score_gpt":0.3798841835464823,"score_spread":0.3364198936444865,"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."}}