{"id":"W4245016735","doi":"10.1167/11.11.678","title":"Eye Movement in Face Change Detection Task","year":2011,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Fixation (population genetics); Eye movement; Psychology; Perception; Eye tracking; Computer vision; Change detection; Ocular dominance; Face (sociological concept); Artificial intelligence; Cognitive psychology; Communication; Computer science; Neuroscience; Visual cortex; Population; Medicine","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":[0.0003538992,0.0005057375,0.0006468049,0.0004188865,0.0003161806,0.0003924913,0.0004314962,0.001251003,0.00542768],"category_scores_gemma":[0.0020098,0.0002339742,0.0002013491,0.000263502,0.0001546109,0.0004730828,0.0005060474,0.001044018,0.001032804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002589718,"about_ca_system_score_gemma":0.0003058775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052158,"about_ca_topic_score_gemma":0.001441416,"domain_scores_codex":[0.9995795,0.00004299875,0.00003562927,0.0001813204,0.00009613218,0.00006435042],"domain_scores_gemma":[0.9992464,0.0002841933,0.0001288863,0.00009126892,0.000136098,0.0001131133],"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":[0.002730986,0.001673279,0.0105455,0.0002329309,0.00003059785,0.0002573799,0.0003568122,0.0003665417,0.9273326,0.000383475,0.001778138,0.0543118],"study_design_scores_gemma":[0.0006432537,0.009172293,0.6789836,0.00007562121,0.0001262867,0.001198014,0.0003516334,0.02283794,0.2769977,0.001956468,0.007536487,0.0001208625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980074,0.0002274376,0.01066511,0.0002130227,0.0001311851,0.0008762135,0.001448687,0.0006288347,0.005735462],"genre_scores_gemma":[0.9649841,0.0002782632,0.01923677,0.0004427042,0.00006777477,0.001993818,0.00148076,0.0001370571,0.01137871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00542768,"threshold_uncertainty_score":0.01815742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03826758901358732,"score_gpt":0.2828752492884561,"score_spread":0.2446076602748688,"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."}}