{"id":"W2096279571","doi":"10.1007/s11145-010-9252-0","title":"Toward modeling reading comprehension and reading fluency in English language learners","year":2010,"lang":"en","type":"article","venue":"Reading and Writing","topic":"Reading and Literacy Development","field":"Psychology","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Baycrest Hospital; University of Toronto; Terry Fox Research Institute","funders":"","keywords":"Fluency; Reading comprehension; Reading (process); Phonological awareness; Mediation; Structural equation modeling; Psychology; Comprehension; Cognitive psychology; Ell; Psycholinguistics; Linguistics; Computer science; Cognition; Vocabulary development; Mathematics education","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001102707,0.0002681264,0.0003753411,0.0003678212,0.0002504555,0.000193,0.0001237067,0.0002193196,0.00004023296],"category_scores_gemma":[0.0002546136,0.0002739099,0.00004361365,0.0002462684,0.00006555684,0.0002548044,0.0001005625,0.0008259295,0.00001410014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004272029,"about_ca_system_score_gemma":0.00001918993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005967743,"about_ca_topic_score_gemma":0.00001459636,"domain_scores_codex":[0.997938,0.0001064867,0.0005260218,0.0006460487,0.0001720244,0.000611452],"domain_scores_gemma":[0.9990597,0.0003378029,0.000109765,0.0002514874,0.0000561844,0.0001850637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001217297,0.000131137,0.2640137,0.0003788218,0.0001023319,0.0004876663,0.3863899,0.0002357643,0.0899497,0.01929401,0.0002616314,0.2386336],"study_design_scores_gemma":[0.01432422,0.0005651286,0.0968385,0.01137928,0.0003134183,0.003122281,0.604182,0.2417342,0.006278458,0.004088363,0.009987528,0.007186619],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764632,0.0004497485,0.0002844667,0.0001006279,0.0005802379,0.0001479609,0.000002778038,0.0002183614,0.02175265],"genre_scores_gemma":[0.9947572,0.00008227973,0.004122005,0.0001155217,0.0003409069,0.00001897608,0.00001671746,0.00004880835,0.0004975331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2414984,"threshold_uncertainty_score":0.9999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02528296094920903,"score_gpt":0.3078593205148742,"score_spread":0.2825763595656652,"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."}}