{"id":"W2997068654","doi":"10.1016/j.dib.2019.105091","title":"A neuroimaging dataset on orthographic, phonological and semantic word processing in school-aged children","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Reading and Literacy Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development","keywords":"Neuroimaging; Phonology; Word (group theory); Natural language processing; Computer science; Orthographic projection; Linguistics; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486492,0.0001499626,0.000212093,0.0001675233,0.00005013917,0.0001137767,0.0004689397,0.00005956487,0.0001175681],"category_scores_gemma":[0.0002340253,0.0001373211,0.000009225977,0.0004921648,0.00006362447,0.0002486218,0.0003262138,0.0005010385,0.00006327069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008769474,"about_ca_system_score_gemma":0.00002362443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092896,"about_ca_topic_score_gemma":0.00005126048,"domain_scores_codex":[0.9983695,0.0001473075,0.0003057341,0.0007630722,0.0001184598,0.0002959719],"domain_scores_gemma":[0.9992003,0.00006169567,0.00006244604,0.0005604079,0.000005119659,0.0001100364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001206638,0.0001123431,0.9509256,0.0000218396,0.000009528639,0.0002556103,0.001181519,0.000002041552,0.0000498655,0.00002749243,0.01929749,0.02799601],"study_design_scores_gemma":[0.0008643335,0.00003257109,0.9850381,0.00008993157,0.000005658345,0.00003733578,0.00007584601,0.0002426508,0.000001687345,0.00002461976,0.01342762,0.000159625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958307,0.0003515873,0.00004279714,0.002206141,0.00006537617,0.000212119,0.0009796057,0.00005074813,0.0002609792],"genre_scores_gemma":[0.9880154,0.00003942813,0.000543864,0.004213744,0.00005468581,0.000013894,0.007094516,0.00001496399,0.000009529951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03411251,"threshold_uncertainty_score":0.5599793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04980386871380099,"score_gpt":0.3242822353972432,"score_spread":0.2744783666834422,"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."}}