{"id":"W2034451558","doi":"10.1016/j.neuropsychologia.2015.01.045","title":"Representation of visual symbols in the visual word processing network","year":2015,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Psychology; Musical notation; Perception; Visual processing; Communication; Representation (politics); Serial memory processing; Cognitive psychology; The Symbolic; Visual perception; Musical; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002478309,0.0002272636,0.0002293781,0.0006409269,0.000407261,0.002257761,0.0006900244,0.0006250261,0.004929331],"category_scores_gemma":[0.002925019,0.0002570851,0.0002938624,0.0006331973,0.0006722766,0.00245179,0.0009740994,0.0005986357,0.000874429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413483,"about_ca_system_score_gemma":0.0005207964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710146,"about_ca_topic_score_gemma":0.001513055,"domain_scores_codex":[0.9998253,0.00004136643,0.000007714354,0.00005255665,0.00003986777,0.00003326737],"domain_scores_gemma":[0.999234,0.0003058804,0.00009578548,0.000105386,0.0001618829,0.00009718816],"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":[0.000677864,0.0001807241,0.01277428,0.0003427575,0.0001024198,0.0006877441,0.002932189,0.01660361,0.4757978,0.146651,0.004858127,0.3383914],"study_design_scores_gemma":[0.0001230534,0.0004778044,0.07876757,0.0001644854,0.0001932219,0.001333767,0.00167118,0.2988801,0.1233372,0.4749086,0.02000237,0.0001407424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6379548,0.0008430998,0.312619,0.002090192,0.0002665023,0.0000740065,0.0009378225,0.0007654543,0.04444909],"genre_scores_gemma":[0.9651654,0.0003487767,0.02844031,0.00009356237,0.00005826275,0.00003878383,0.0003786729,0.00008008998,0.005396128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004929331,"threshold_uncertainty_score":0.01649028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172302894247726,"score_gpt":0.4034893717364544,"score_spread":0.2862590823116818,"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."}}