{"id":"W4409793564","doi":"10.61091/jcmcc127a-235","title":"Measuring the Effectiveness of Students’ Language Proficiency Enhancement Based on Principal Component Analysis in Task-Based Teaching of English in Information Technology-Assisted Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; Beijing Institute of Petrochemical Technology","keywords":"Task (project management); Component (thermodynamics); Mathematics education; Computer science; English language; Higher education; Psychology; Engineering; Political science; Physics","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":[0.00371619,0.0001297742,0.0004865178,0.001228744,0.0001143845,0.00005615971,0.0005764989,0.00009311766,1.92096e-7],"category_scores_gemma":[0.0004732938,0.0001046067,0.00006655946,0.00115626,0.00009782545,0.0001652591,0.0002208201,0.0003697875,2.259406e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823349,"about_ca_system_score_gemma":0.0002760371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001590635,"about_ca_topic_score_gemma":9.888263e-7,"domain_scores_codex":[0.9982671,0.000295457,0.0007180989,0.0001214589,0.0004627762,0.000135079],"domain_scores_gemma":[0.9973632,0.001341757,0.000684674,0.0002048526,0.0003829897,0.00002257367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001278497,0.00136655,0.04362079,0.0004575134,0.0001364944,0.000003232566,0.002756569,0.001901872,0.0005083004,0.9485939,0.000001279795,0.0005256629],"study_design_scores_gemma":[0.0287942,0.003525511,0.37202,0.01009663,0.0006657396,0.000005905725,0.03186832,0.3050664,0.04972466,0.1973294,0.00005711347,0.0008461452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730725,0.00006239535,0.02509741,0.0001169647,0.001162941,0.0002889769,8.141994e-7,0.00001150129,0.0001864465],"genre_scores_gemma":[0.9967067,0.000002408941,0.003261254,0.000006729552,0.00001508565,0.000004273701,7.092968e-7,0.00000233541,4.559592e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7512645,"threshold_uncertainty_score":0.4265736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006707679253888369,"score_gpt":0.2677945648396955,"score_spread":0.2610868855858071,"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."}}