{"id":"W2120693960","doi":"10.1068/i0625rep","title":"Upper Visual Field Advantage in Localizing a Target among Distractors","year":2014,"lang":"en","type":"article","venue":"i-Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Cognitive psychology; Visual field; Cognition; Meridian (astronomy); Psychology; N2pc; Visual perception; Visual search; Task (project management); Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003020314,0.000176634,0.0001686088,0.0001581915,0.0001514104,0.0001049428,0.0001645752,0.000154126,0.001865213],"category_scores_gemma":[0.0003471575,0.0001675817,0.00006921394,0.000258064,0.00006812911,0.0004935832,0.00004190422,0.0002925481,0.0004665049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405276,"about_ca_system_score_gemma":0.00001471619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005989448,"about_ca_topic_score_gemma":0.00003814461,"domain_scores_codex":[0.9984551,0.0001940932,0.0002778534,0.0004549427,0.0002882435,0.0003297434],"domain_scores_gemma":[0.999532,0.0001047251,0.00007629424,0.00016228,0.00001732934,0.0001073148],"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":[0.00004916999,0.0001546359,0.01560688,0.00003584638,6.962786e-7,0.000006559029,0.0014618,0.00006988669,0.9419255,0.000450703,0.0002007141,0.04003765],"study_design_scores_gemma":[0.002992971,0.001741275,0.4654399,0.0005318181,0.00002932621,0.00006435132,0.006825715,0.1907379,0.3052791,0.008097292,0.01613408,0.002126276],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552807,0.000001985853,0.03926462,0.0002054714,0.0003802841,0.0001364386,0.00000261752,0.0001571008,0.00457075],"genre_scores_gemma":[0.9968045,0.00001285378,0.0004941376,0.002032558,0.0001690648,0.00001711613,0.00001110937,0.00002604249,0.00043259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6366464,"threshold_uncertainty_score":0.9990472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111702266568704,"score_gpt":0.3189886898600427,"score_spread":0.2978716671943556,"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."}}