{"id":"W2260950081","doi":"10.29173/mruer317","title":"Assistive reading technologies for struggling readers","year":2015,"lang":"en","type":"article","venue":"Mount Royal Undergraduate Education Review","topic":"Reading and Literacy Development","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading (process); Literacy; Psychology; Reading comprehension; Assistive technology; Comprehension; Mathematics education; Pedagogy; Computer science; Medical education; Medicine; Human–computer interaction; Political science","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":[0.0007614259,0.0002340167,0.0003679146,0.0001424699,0.0001275864,0.00006704059,0.0002557333,0.0001035438,0.00005981678],"category_scores_gemma":[0.0005965175,0.0002045624,0.0001047049,0.0003033173,0.00005993527,0.0000833052,0.000034123,0.0001768292,0.0003284104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004867225,"about_ca_system_score_gemma":0.0004075258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001723672,"about_ca_topic_score_gemma":0.000004752875,"domain_scores_codex":[0.9983368,0.000113903,0.0005150819,0.0004742346,0.0002007575,0.0003592282],"domain_scores_gemma":[0.9986694,0.000161198,0.0002790377,0.0004485872,0.0003249019,0.0001168405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002624799,0.0002265634,0.001926728,0.0009318008,0.0001310889,0.000002120671,0.001454477,0.000007276854,0.0000042863,0.06104799,0.6300934,0.304148],"study_design_scores_gemma":[0.0003234553,0.0000798407,0.001156704,0.002568657,0.0001130126,0.00001774134,0.005012688,0.0000360636,0.00003727276,0.007136931,0.9831549,0.0003627319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0184454,0.4985312,0.03486865,0.1950685,0.02380716,0.009656879,0.00008445739,0.00329397,0.2162438],"genre_scores_gemma":[0.8108561,0.01118645,0.04489728,0.006453677,0.0005840426,0.005422221,0.0007721675,0.0001780507,0.11965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7924107,"threshold_uncertainty_score":0.8341814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05131770973039369,"score_gpt":0.365113971596868,"score_spread":0.3137962618664744,"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."}}