{"id":"W2048274123","doi":"10.1167/11.11.474","title":"The Moving Eye is Easy to Spy: How Motion Improves Gaze Discrimination","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gaze; Fixation (population genetics); Eye movement; Motion (physics); Computer vision; Psychology; Perception; Eye tracking; IRIS (biosensor); Artificial intelligence; Computer science; Medicine; Neuroscience; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002667466,0.0002715352,0.0004224678,0.0002876288,0.0002256494,0.0004490252,0.0003261598,0.0004612544,0.005902095],"category_scores_gemma":[0.002023219,0.0001503521,0.0002612018,0.0001573611,0.0002094531,0.0006300797,0.0003754724,0.0005145069,0.0004489181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620287,"about_ca_system_score_gemma":0.0001541924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183803,"about_ca_topic_score_gemma":0.001326251,"domain_scores_codex":[0.9998482,0.00003295885,0.00001016575,0.00005986683,0.00002665477,0.00002203764],"domain_scores_gemma":[0.999625,0.0001683302,0.0000695224,0.00003788572,0.0000230421,0.00007637392],"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":[0.008120839,0.005269764,0.005845615,0.0008745149,0.0001766306,0.0001383201,0.0005571378,0.0006657667,0.7368608,0.0007063525,0.00246825,0.2383159],"study_design_scores_gemma":[0.006566801,0.0677502,0.5643322,0.0007820415,0.001923535,0.001717897,0.001158315,0.01874646,0.2887528,0.007633538,0.04036766,0.0002685705],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926986,0.002129558,0.00137818,0.0005600138,0.0001181125,0.0000476143,0.000108015,0.0001729051,0.002787051],"genre_scores_gemma":[0.9909093,0.001203536,0.005126121,0.0003342647,0.00006883623,0.00005764722,0.0001452256,0.00007183699,0.002083112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005902095,"threshold_uncertainty_score":0.01974446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691158441451334,"score_gpt":0.2839534012842713,"score_spread":0.267041816869758,"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."}}