{"id":"W2059746245","doi":"10.1590/s0102-79722011000100023","title":"Distribution of visual attention within a cued area: evidence based on temporal order judgments","year":2011,"lang":"en","type":"article","venue":"Psicologia Reflexão e Crítica","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Cued speech; Perception; Frame (networking); Orientation (vector space); Cognitive psychology; Computer science; Visual attention; Visual field; Psychology; Visual perception; Reference frame; Computer vision; Artificial intelligence; Communication; Mathematics; Geometry; Neuroscience; Telecommunications","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":[0.001534064,0.0002638333,0.000493728,0.0007739957,0.0003511461,0.0007119858,0.0005591359,0.0004758416,0.001878958],"category_scores_gemma":[0.01857836,0.0003296275,0.0001662917,0.0005171724,0.001310263,0.001015515,0.0008560144,0.0004745226,0.0002101352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000556639,"about_ca_system_score_gemma":0.0003370357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002856382,"about_ca_topic_score_gemma":0.002362153,"domain_scores_codex":[0.9989478,0.000234949,0.00006434454,0.0003039689,0.0003456825,0.0001032609],"domain_scores_gemma":[0.9876732,0.007189834,0.001958539,0.001842325,0.0009054365,0.0004306875],"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":[0.006489423,0.0003657317,0.04700407,0.0005242947,0.000129918,0.0005629342,0.003352732,0.001290367,0.8526762,0.00252406,0.0003183568,0.08476192],"study_design_scores_gemma":[0.0003619362,0.001938584,0.8423617,0.00007865854,0.0001837046,0.001306904,0.001015393,0.00533604,0.1389379,0.006334372,0.002035188,0.0001094833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993112,0.0003639889,0.00412134,0.00003928745,0.00001180618,0.00002201768,0.0000342233,0.00001970462,0.002275695],"genre_scores_gemma":[0.9979849,0.0001647845,0.001562841,0.00002831223,0.000009536773,0.00001590852,0.00003644818,0.00001497386,0.0001822809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002856382,"threshold_uncertainty_score":0.008112967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2127137966292502,"score_gpt":0.3762237821007708,"score_spread":0.1635099854715206,"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."}}