{"id":"W2229790666","doi":"10.5539/elt.v9n2p49","title":"Strategies Training in the Teaching of Reading Comprehension for EFL Learners in Indonesia","year":2016,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Reading and Literacy Development","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Psychology; Mathematics education; Analysis of covariance; Test (biology); Reading (process); Control (management); Covariate; Comprehension; Literal (mathematical logic); Vocational education; Pedagogy; Linguistics; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004343522,0.0003458147,0.0005015437,0.0002869093,0.0003273436,0.0004613598,0.0003681465,0.0002701202,0.001994435],"category_scores_gemma":[0.000900065,0.0001363149,0.0001652358,0.0001905526,0.0002706636,0.0003128168,0.0003995576,0.0006333527,0.0003340789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002358156,"about_ca_system_score_gemma":0.0006916848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007139971,"about_ca_topic_score_gemma":0.001606929,"domain_scores_codex":[0.9998239,0.00006361499,0.0000141063,0.00004128192,0.00002600333,0.00003121971],"domain_scores_gemma":[0.999568,0.0001585083,0.00007654355,0.00002291223,0.00002375214,0.0001503077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003000273,0.1102996,0.02507893,0.002014941,0.00007402138,0.001394638,0.01701754,0.0007227741,0.1064971,0.0007917549,0.00122867,0.7318798],"study_design_scores_gemma":[0.003178989,0.1094247,0.7435277,0.001466405,0.0007455273,0.002321422,0.02088677,0.003835357,0.08810094,0.002993314,0.02339036,0.0001286704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997844,0.0002993262,0.0002291348,0.00009334498,0.00001493043,0.0000565835,0.000008128594,0.00001399007,0.001440501],"genre_scores_gemma":[0.9928933,0.000788489,0.003703654,0.00008386664,0.00001266089,0.0001353195,0.00002114915,0.000005837159,0.002355586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001994435,"threshold_uncertainty_score":0.006672025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526511714426623,"score_gpt":0.3282088689731824,"score_spread":0.3029437518289161,"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."}}