{"id":"W1976743724","doi":"10.1167/14.10.744","title":"Dynamics of target and distractor spatial averaging in the global effect","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Optics and Image Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"","keywords":"Offset (computer science); Saccade; Interval (graph theory); Superior colliculus; Computer science; Psychology; Mathematics; Eye movement; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003914126,0.0003918307,0.0005472382,0.0004953015,0.0001969417,0.0003800524,0.0002032783,0.0002841333,0.001462374],"category_scores_gemma":[0.003239792,0.0001861917,0.0003015757,0.0003228124,0.0003914305,0.0005016878,0.0006235226,0.0003669343,0.0001954938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196893,"about_ca_system_score_gemma":0.0002795668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275078,"about_ca_topic_score_gemma":0.001471599,"domain_scores_codex":[0.999738,0.00003669674,0.0000164436,0.00007472375,0.00009173514,0.00004237438],"domain_scores_gemma":[0.9984023,0.0008168024,0.0002631051,0.0001597208,0.0001971089,0.0001609164],"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":[0.001464956,0.0001113984,0.05062953,0.0002371088,0.0001540488,0.0006137689,0.0003907772,0.003890097,0.888015,0.0007051392,0.0003309682,0.05345725],"study_design_scores_gemma":[0.00006424994,0.0008677624,0.8928598,0.00002712077,0.0002384199,0.001377023,0.0001293925,0.02245565,0.07930533,0.001545119,0.001084749,0.00004541177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897886,0.0009253268,0.007509755,0.00003164501,0.00001087432,0.00002106011,0.00008935462,0.0001045146,0.001518796],"genre_scores_gemma":[0.9980609,0.0001202716,0.001399693,0.00001368738,0.000008771804,0.000008810589,0.00009182666,0.0000365139,0.0002594437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001462374,"threshold_uncertainty_score":0.004892111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002908509401717592,"score_gpt":0.2285634557245592,"score_spread":0.2256549463228416,"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."}}