{"id":"W4313533300","doi":"10.5430/wjel.v13n1p312","title":"Utilization of Teaching Language Skills Across the Curriculum for Developing Language Skills to Rich Academic Content in All Subjects","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"English Language Learning and Teaching","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direcció General de Recerca, Generalitat de Catalunya; Direktorat Riset dan Pengabdian Masyarakat","keywords":"Curriculum; Mathematics education; Creativity; Computer science; Inclusion (mineral); Negotiation; Language acquisition; Psychology; Pedagogy; Sociology","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":[0.005191456,0.0002704122,0.0005098447,0.0005681628,0.0003374388,0.0001399029,0.001841252,0.00007193803,0.00002067365],"category_scores_gemma":[0.005938299,0.0002141864,0.0002171581,0.001006852,0.00003480261,0.0004591693,0.0006386727,0.00183424,0.000001460323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116782,"about_ca_system_score_gemma":0.0001155661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003710363,"about_ca_topic_score_gemma":0.0004074232,"domain_scores_codex":[0.9965433,0.0007384945,0.0009540682,0.000373822,0.0007441351,0.0006462146],"domain_scores_gemma":[0.997376,0.0008964699,0.0007964296,0.00049881,0.0003018343,0.000130441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003791057,0.0002957819,0.008465464,0.00008425119,0.00009266793,0.0002726317,0.9200614,0.004394354,0.003891954,0.004215362,0.001473046,0.05671518],"study_design_scores_gemma":[0.007843222,0.001006535,0.01498687,0.001857474,0.0001486478,0.0003175428,0.8819892,0.003830612,0.02797342,0.0002485869,0.05790537,0.001892556],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766625,0.003288588,0.0168979,0.00048234,0.001331785,0.0004730691,0.00002396626,0.00009169706,0.0007481585],"genre_scores_gemma":[0.983537,0.00001763485,0.01379304,0.001255622,0.0005918794,0.00003754652,0.00001582127,0.00004062887,0.0007108894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05643232,"threshold_uncertainty_score":0.8734269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241049811835453,"score_gpt":0.320204782223877,"score_spread":0.2977942841055225,"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."}}