{"id":"W4402117528","doi":"10.5430/wjel.v15n1p252","title":"Enhancing Writing Skills with Social Media-Based Corrective Feedback","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Educational Methods and Media Use","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corrective feedback; Computer science; Social media; Mathematics education; Psychology; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.001066999,0.0001183888,0.0002084119,0.000372813,0.00007481606,0.00022121,0.0003699113,0.0000309338,0.00004981871],"category_scores_gemma":[0.001412673,0.00008897369,0.0001061207,0.0007671803,0.00004074314,0.0004571421,0.00003470116,0.0004354214,0.000005389325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001028695,"about_ca_system_score_gemma":0.0004598178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003821179,"about_ca_topic_score_gemma":0.00009158835,"domain_scores_codex":[0.9987495,0.000124581,0.0003066236,0.0001710537,0.0004286083,0.0002196629],"domain_scores_gemma":[0.9973686,0.001721795,0.0001647346,0.0001223847,0.0004933767,0.0001290558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005397639,0.000326291,0.0006606498,0.0001856129,0.0001865921,0.001257938,0.546082,0.0001291552,0.0032985,0.01730731,0.006589618,0.4239224],"study_design_scores_gemma":[0.01091944,0.001781645,0.03419791,0.01834894,0.0008615587,0.0009618613,0.305538,0.006098494,0.3334419,0.007689422,0.2755582,0.004602564],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6937786,0.006541952,0.2642357,0.002502088,0.01994171,0.0002349637,0.00001338289,0.0002992563,0.01245235],"genre_scores_gemma":[0.7690614,0.000007150118,0.2257563,0.0003133023,0.00463398,0.00000373272,0.000001501902,0.00001782456,0.0002047507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4193198,"threshold_uncertainty_score":0.3628242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009423026709733495,"score_gpt":0.2842285625503106,"score_spread":0.2748055358405771,"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."}}