{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005027073,0.0001048274,0.000169118,0.0000693917,0.0001749028,0.000147565,0.0001635323,0.00005600849,0.0001591184],"category_scores_gemma":[0.0007878506,0.00009846344,0.00003517662,0.0003872023,0.000280507,0.0001771469,0.00003717629,0.00008288414,0.0004245179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003768617,"about_ca_system_score_gemma":0.001208623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006225678,"about_ca_topic_score_gemma":0.0001892834,"domain_scores_codex":[0.9989632,0.00009045386,0.000237774,0.0002364038,0.0002665066,0.0002056274],"domain_scores_gemma":[0.999148,0.00003367367,0.0000843282,0.0002236997,0.0002329446,0.0002773712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002560699,0.0005041718,0.01168901,0.0003152906,0.00001600477,2.472371e-7,0.001729064,8.46203e-7,6.164937e-7,0.5184878,0.2585777,0.2086767],"study_design_scores_gemma":[0.0000621817,0.00001948636,0.0004889711,0.000257308,0.00001836445,0.000001481177,0.003440831,0.000001561899,9.062325e-7,0.03665455,0.9589363,0.0001180109],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04618391,0.074772,0.00009560859,0.6499142,0.002144977,0.001295707,0.000005359417,0.0003149982,0.2252733],"genre_scores_gemma":[0.9408886,0.01457023,0.0003797498,0.00482564,0.0002581095,0.0002107437,0.00004303815,0.00001701814,0.0388068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8947048,"threshold_uncertainty_score":0.545646,"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."}}