{"id":"W4389869504","doi":"10.5539/elt.v17n1p26","title":"Digital Literacy: Enhancing English Reading Comprehension Among Foreign Language Students","year":2023,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Digital literacy in education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reading comprehension; Psychology; Reading (process); Mathematics education; Comprehension; Literacy; Foreign language; Test (biology); Pedagogy; Computer science; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001120968,0.0003655168,0.0003430942,0.0005239903,0.0003251692,0.003654243,0.001695671,0.0001132199,0.00001649817],"category_scores_gemma":[0.002570799,0.0003712947,0.0001547598,0.0008424793,0.0000436729,0.007248141,0.001025382,0.0006838929,0.0001622493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827881,"about_ca_system_score_gemma":0.00003936608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005169213,"about_ca_topic_score_gemma":0.000006651421,"domain_scores_codex":[0.9967948,0.0001802309,0.0005693956,0.0008118575,0.0008798355,0.0007639389],"domain_scores_gemma":[0.9976239,0.000662573,0.000225871,0.001099308,0.0001488824,0.0002395313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006307149,0.0001807133,0.02207362,0.00007167576,0.00004629431,0.0002702951,0.8326041,0.0001151606,0.001591258,0.004399134,0.001179412,0.137462],"study_design_scores_gemma":[0.00574229,0.0007166812,0.06914014,0.004931823,0.0001484666,0.0001219353,0.7770301,0.06033605,0.02686107,0.003520971,0.04416368,0.007286789],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290039,0.0001080315,0.008721701,0.00001899927,0.001968604,0.0003128688,0.00002108416,0.002946528,0.05689832],"genre_scores_gemma":[0.9906906,0.000002208311,0.004220882,0.0001502349,0.001251109,0.00003713952,0.0002755244,0.00006589959,0.003306371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1301753,"threshold_uncertainty_score":0.9998739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006040457299209167,"score_gpt":0.2792910503388478,"score_spread":0.2732505930396386,"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."}}