{"id":"W3161990682","doi":"10.17605/osf.io/usxam","title":"Insights from a dyslexia simulation font: Can we simulate reading struggles of individuals with dyslexia?","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Reading and Literacy Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Dyslexia; Font; Reading (process); Psychology; Computer science; Linguistics; Cognitive psychology; Communication; Artificial intelligence; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340442,0.0003674063,0.0002676668,0.000534239,0.0005495412,0.00194836,0.0005325135,0.0009507128,0.002111622],"category_scores_gemma":[0.00936442,0.0001865163,0.000320174,0.0002256527,0.001946145,0.002260843,0.001595924,0.0009762862,0.0003135734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006323466,"about_ca_system_score_gemma":0.0004783556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001421938,"about_ca_topic_score_gemma":0.003254876,"domain_scores_codex":[0.9989603,0.0007432429,0.00005181953,0.0000891954,0.00009388846,0.0000616691],"domain_scores_gemma":[0.9948407,0.003988604,0.0003540849,0.0002818071,0.0002215656,0.0003132583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0009033305,0.001432482,0.1397102,0.0007930341,0.0000902679,0.009054052,0.6927513,0.003192513,0.02880257,0.01985698,0.01005273,0.0933606],"study_design_scores_gemma":[0.0002706319,0.004118179,0.2541153,0.0007159282,0.0002129241,0.01650383,0.550029,0.01634879,0.01246005,0.05008924,0.09486131,0.00027486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857624,0.0002298756,0.00301678,0.002469876,0.00003682084,0.00003690078,0.00008287661,0.00006798274,0.008296546],"genre_scores_gemma":[0.9945707,0.0002388056,0.003416605,0.0003698454,0.000008795509,0.00004379903,0.00007360211,0.00002201342,0.001255859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002111622,"threshold_uncertainty_score":0.007089078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201281471595916,"score_gpt":0.2632648869214037,"score_spread":0.2412520722054445,"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."}}