{"id":"W2163675646","doi":"10.2466/24.27.pms.119c26z7","title":"Lower-Right and Upper-Left Biases within Upper and Lower Visual Fields in a Circular Array Task","year":2014,"lang":"en","type":"article","venue":"Perceptual and Motor Skills","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Horizontal and vertical; Horizontal position representation; Dimension (graph theory); Visual field; Psychology; Grayscale; Mathematics; Geometry; Computer vision; Computer science; Image (mathematics); 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":[0.0005170164,0.0004463796,0.0003523271,0.0003420546,0.0001458196,0.0003053731,0.0002245414,0.0003259047,0.001131413],"category_scores_gemma":[0.002140163,0.0001607295,0.0001126807,0.0001511293,0.0004704018,0.0003767577,0.0005604954,0.0002971026,0.0001573138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002263959,"about_ca_system_score_gemma":0.0002926245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016693,"about_ca_topic_score_gemma":0.00177192,"domain_scores_codex":[0.9996214,0.00005256844,0.00004700848,0.00008738254,0.0001312483,0.00006045405],"domain_scores_gemma":[0.9988762,0.0003742846,0.0003623726,0.0001483061,0.00007212372,0.000166688],"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":[0.001292904,0.0002028001,0.009395215,0.00005625866,0.00002100141,0.00009920432,0.0001236389,0.0002624766,0.9752848,0.0001680381,0.00008742212,0.01300618],"study_design_scores_gemma":[0.0001495836,0.002312813,0.4652331,0.00003515184,0.00006322404,0.001243937,0.0002135642,0.006792095,0.5213659,0.001492976,0.001027828,0.00006976114],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984133,0.00005375577,0.001034536,0.00001789534,0.000005093881,0.000006296213,0.00003544253,0.00001486331,0.0004187032],"genre_scores_gemma":[0.9977137,0.00005417334,0.001584772,0.00004407594,0.000004119132,0.00002374229,0.00007446946,0.00001643179,0.0004844312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001131413,"threshold_uncertainty_score":0.003784955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023331795351931,"score_gpt":0.2417110893106952,"score_spread":0.2314777713571759,"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."}}