{"id":"W2900480131","doi":"10.1016/j.jneuroling.2018.11.001","title":"Concrete and abstract word processing in deep dyslexia","year":2018,"lang":"en","type":"article","venue":"Journal of Neurolinguistics","topic":"Reading and Literacy Development","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Concreteness; Lexicon; Cognitive psychology; Dyslexia; Psychology; Task (project management); Computer science; Natural language processing; Reading (process); Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.000359656,0.00009551653,0.0001897933,0.0001639529,0.00004549673,0.0000512,0.0001105811,0.00005739784,0.00007465579],"category_scores_gemma":[0.0005389654,0.00008195896,0.00002533934,0.0001095003,0.00008047756,0.00003465532,0.00001774985,0.0003109662,0.00001679949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001765025,"about_ca_system_score_gemma":0.00004775621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004554489,"about_ca_topic_score_gemma":0.000002278035,"domain_scores_codex":[0.9990252,0.00003620651,0.0004901238,0.0001147041,0.0001430693,0.0001907543],"domain_scores_gemma":[0.999159,0.00009810962,0.0003206212,0.00008536653,0.0002456036,0.00009126768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003449984,0.0003031892,0.2306622,0.0003402544,0.0002079744,0.08830079,0.09688087,0.00003109592,0.004091079,0.002452278,0.01044934,0.562831],"study_design_scores_gemma":[0.003590327,0.001182665,0.7140315,0.0005851089,0.00008946085,0.01980661,0.0008633552,0.001061935,0.0001018829,0.003408531,0.2547092,0.0005694331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817616,0.0004758754,0.000150962,0.0001216081,0.001506628,0.00003751604,8.184175e-7,0.000008340581,0.01593668],"genre_scores_gemma":[0.9960776,0.00002092945,0.002232186,0.0003982821,0.001074361,5.23207e-7,2.761973e-7,0.00001489816,0.0001809406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5622615,"threshold_uncertainty_score":0.3342189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534745065646796,"score_gpt":0.3347081090134766,"score_spread":0.3093606583570087,"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."}}