{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01384169,0.001173221,0.0008188675,0.005079823,0.0007794292,0.002474541,0.002134808,0.0008599394,0.00411318],"category_scores_gemma":[0.03398805,0.0005067519,0.0008084113,0.002018634,0.0007329604,0.002419787,0.002056604,0.001781732,0.002950797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204271,"about_ca_system_score_gemma":0.005381292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003900924,"about_ca_topic_score_gemma":0.003454388,"domain_scores_codex":[0.9919162,0.002549395,0.001572476,0.0006898933,0.003079081,0.0001929502],"domain_scores_gemma":[0.9697959,0.004377543,0.001743379,0.00157689,0.02156185,0.0009443668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005310843,0.0007430915,0.04348978,0.001706521,0.00007032856,0.001494641,0.002973999,0.005433186,0.03952033,0.01454788,0.02458557,0.8649036],"study_design_scores_gemma":[0.0004264248,0.006388508,0.2525843,0.005627216,0.0005644347,0.009794995,0.01038626,0.09953199,0.1253678,0.02059811,0.4677668,0.0009632248],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06278203,0.002135023,0.8978367,0.001256363,0.0009975011,0.008729228,0.00283848,0.005209965,0.01821475],"genre_scores_gemma":[0.0517802,0.001032711,0.9384633,0.0001559292,0.0001428996,0.002638415,0.00262831,0.0003558845,0.002802258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01384169,"threshold_uncertainty_score":0.07320273,"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."}}