{"id":"W4403015102","doi":"10.5539/elt.v17n11p1","title":"Scaffolding Learners’ Comprehension in Extensive Reading","year":2024,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Scaffold; Reading comprehension; Reading (process); Comprehension; Mathematics education; Linguistics; Computer science","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":[0.001891101,0.0004538543,0.0005051984,0.0005401648,0.000365922,0.00135375,0.0005758321,0.0004162811,0.002572688],"category_scores_gemma":[0.01355923,0.000177925,0.000322097,0.0002632187,0.0006587809,0.000901854,0.001393544,0.0004835106,0.0004223607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529542,"about_ca_system_score_gemma":0.0006825464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000816062,"about_ca_topic_score_gemma":0.001265765,"domain_scores_codex":[0.9987485,0.0005219032,0.0000907489,0.0002474676,0.0002694456,0.0001218942],"domain_scores_gemma":[0.9883509,0.008170232,0.001300168,0.0009090333,0.0007791608,0.0004906323],"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":[0.001440799,0.006391807,0.143707,0.001557708,0.0001229568,0.002546654,0.1087233,0.004126451,0.2497074,0.003088828,0.001269634,0.4773175],"study_design_scores_gemma":[0.0002628571,0.01444787,0.6943387,0.0008022413,0.0002995973,0.002293532,0.06283315,0.01084536,0.1787655,0.01265735,0.02223524,0.000218457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970754,0.00004869172,0.001250627,0.00002535663,0.000003261324,0.00003055055,0.00001043882,0.00003031688,0.001525324],"genre_scores_gemma":[0.99628,0.00006361734,0.00250033,0.000009186763,0.000004078748,0.00003071291,0.00004093086,0.000008137221,0.001063075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002572688,"threshold_uncertainty_score":0.01000124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565714245504414,"score_gpt":0.2547536872833661,"score_spread":0.239096544828322,"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."}}