{"id":"W4405912851","doi":"10.5430/wjel.v15n3p90","title":"Multiliteracy-Based Differentiated Instruction for Language Learning in the Center of Excellence Vocational High Schools","year":2024,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi; Universitas Sebelas Maret","keywords":"Vocational education; Center of excellence; Excellence; Mathematics education; Center (category theory); Computer science; Pedagogy; Psychology; Political science; Chemistry; Database","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":[0.0008318607,0.00007646754,0.0001510042,0.0003976097,0.0001174143,0.0000650895,0.0002575709,0.00004526951,0.00008430678],"category_scores_gemma":[0.002116753,0.00005681407,0.00008604208,0.000616658,0.0001095188,0.0002221815,0.00001514787,0.0003990741,0.000001624746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151198,"about_ca_system_score_gemma":0.0001704994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001585776,"about_ca_topic_score_gemma":0.0006233613,"domain_scores_codex":[0.9989655,0.0001519111,0.0003410505,0.0001074643,0.0002759429,0.0001581466],"domain_scores_gemma":[0.9988694,0.0004758145,0.0001997147,0.00009286202,0.0003364406,0.00002574086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001643366,0.0003572861,0.02641299,0.000243541,0.0001393629,0.00002900768,0.8219279,0.0002980565,0.005120021,0.009527501,0.005937856,0.1298421],"study_design_scores_gemma":[0.003166935,0.0002068685,0.09029094,0.001715334,0.0001135157,0.00000608738,0.772193,0.0003072849,0.007717489,0.001532282,0.1223449,0.0004053494],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942027,0.001805439,0.0003820444,0.001302314,0.00129773,0.0001761329,0.00001235833,0.00008206874,0.0007392035],"genre_scores_gemma":[0.9974825,0.00003799226,0.001181441,0.00005161262,0.0005462714,0.00001678181,0.000009014886,0.000008080072,0.0006663256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1294368,"threshold_uncertainty_score":0.2534105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01195470072670122,"score_gpt":0.3217957664092534,"score_spread":0.3098410656825522,"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."}}