{"id":"W2345565043","doi":"10.1016/j.optom.2016.03.003","title":"Toward developing a standardized Arabic continuous text reading chart","year":2016,"lang":"en","type":"article","venue":"Journal of Optometry","topic":"Reading and Literacy Development","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"King Saud University","keywords":"Arabic; Reading (process); Chart; Medicine; Optometry; Psychology; Linguistics; Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001422229,0.000183557,0.0005209785,0.0006849182,0.00006895507,0.00006696815,0.0002988094,0.0001143934,0.0009382663],"category_scores_gemma":[0.0003453667,0.0001123245,0.0001782342,0.0004426338,0.00005025708,0.0002526329,0.00004207673,0.0002351078,0.0002662901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002768538,"about_ca_system_score_gemma":0.0001643137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001651455,"about_ca_topic_score_gemma":3.02651e-8,"domain_scores_codex":[0.998001,0.0001286245,0.0008256499,0.0002039476,0.0004364676,0.0004043413],"domain_scores_gemma":[0.9983414,0.0003499719,0.0005949587,0.0002049825,0.0003398046,0.0001688371],"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":[0.00172929,0.0002706794,0.3463753,0.0001031933,0.001664286,0.001383992,0.01405749,8.630253e-7,0.02390137,0.002987398,0.08381907,0.523707],"study_design_scores_gemma":[0.008673687,0.0005388349,0.4737541,0.002370063,0.0001051267,0.003975397,0.00229356,0.000001201456,0.01077884,0.0005316924,0.496154,0.0008234813],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9563498,0.0007022182,0.02486381,0.002574274,0.002595617,0.0000979878,0.000007579516,0.0000372665,0.01277146],"genre_scores_gemma":[0.9837717,0.0001080786,0.009301006,0.0003052851,0.0004367143,0.000004466123,5.739177e-7,0.0000290439,0.00604313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5228835,"threshold_uncertainty_score":0.999975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771026378049921,"score_gpt":0.3600942225062781,"score_spread":0.3323839587257789,"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."}}