{"id":"W4412184904","doi":"10.5539/jel.v15n1p12","title":"The Impact of Dyslexia Legislation: An Analysis of Knowledge and Preparedness Among In-Service Educators","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Dyslexia; Preparedness; Psychology; Knowledge level; Service (business); Statistical analysis; Mathematics education; Pedagogy; Linguistics; Political science; Business; Statistics; Reading (process)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001610528,0.00004709402,0.0001638547,0.0003319417,0.0002054721,0.00005130098,0.00009975589,0.00003401776,0.00006653494],"category_scores_gemma":[0.0005620648,0.00003497401,0.0000618444,0.001029348,0.0001494276,0.000232729,0.00001159414,0.0001202015,1.26275e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001220679,"about_ca_system_score_gemma":0.001470495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398095,"about_ca_topic_score_gemma":0.005301422,"domain_scores_codex":[0.9990114,0.0003853494,0.0003455863,0.00007057768,0.0001102067,0.00007690355],"domain_scores_gemma":[0.9987884,0.0003177862,0.0003362248,0.00007625753,0.000405523,0.00007585357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001521211,0.0002802043,0.8260262,0.00001115118,0.00009069686,8.476397e-9,0.1479613,0.0004658368,0.00001411073,0.001677608,0.0001452692,0.02331238],"study_design_scores_gemma":[0.00007007377,0.00003507696,0.8229333,0.00004472085,0.00008271144,1.622428e-7,0.1732547,0.0002782418,0.000003683023,0.0002085229,0.003061665,0.00002714701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915354,0.0007948349,0.000009306534,0.0009423484,0.0002824751,0.00006291448,2.195716e-7,0.000001859891,0.006370627],"genre_scores_gemma":[0.9989457,0.0001503568,0.00003556253,0.00001657765,0.00005343346,0.000002179496,0.000001332453,0.000001801621,0.0007930559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02529337,"threshold_uncertainty_score":0.6648633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151220552393513,"score_gpt":0.411442390011006,"score_spread":0.3899301844870708,"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."}}