{"id":"W2265290272","doi":"10.29173/mruer322","title":"Dyslexia and digital technology","year":2015,"lang":"en","type":"article","venue":"Mount Royal Undergraduate Education Review","topic":"Disability Education and Employment","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dyslexia; Assistive technology; Computer science; Emerging technologies; Multimedia; Psychology; Reading (process); Human–computer interaction; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009271147,0.0002253774,0.0004788127,0.003257064,0.000478645,0.002114668,0.0003479044,0.001052239,0.004303158],"category_scores_gemma":[0.004278235,0.00014408,0.0003199153,0.002671473,0.001520525,0.001864932,0.0010809,0.00118,0.0008905224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751532,"about_ca_system_score_gemma":0.003845385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005873649,"about_ca_topic_score_gemma":0.01089286,"domain_scores_codex":[0.9988394,0.0003523399,0.000229225,0.0000886131,0.0003922925,0.00009803339],"domain_scores_gemma":[0.9974682,0.001612085,0.0003481856,0.00005546126,0.0003818347,0.0001342203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004532135,0.00007018015,0.002826444,0.01750069,0.00009496388,0.0009394179,0.001554756,0.0001600055,0.0005094,0.01885017,0.04466705,0.9127817],"study_design_scores_gemma":[0.00001481314,0.0001227958,0.01306552,0.01756236,0.00009769011,0.004815557,0.002063864,0.00003090528,0.0002369689,0.003277593,0.9586917,0.00002026499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001881831,0.9831252,0.00007937571,0.003019833,0.0005724767,0.000009033349,0.00001299676,0.000006306077,0.01129295],"genre_scores_gemma":[0.01993085,0.9737781,0.0001429076,0.001698105,0.0003993403,0.00001618461,0.00002965813,0.00000317192,0.004001592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005873649,"threshold_uncertainty_score":0.01439548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03683212202750747,"score_gpt":0.3578457930453757,"score_spread":0.3210136710178682,"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."}}