{"id":"W4409573389","doi":"10.61091/jcmcc127a-030","title":"Machine Learning-Based English Learning Behaviour Pattern Recognition and Personalised Teaching Strategies for College Students","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wuhan University of Bioengineering; Wuhan University","keywords":"Computer science; Mathematics education; Artificial intelligence; Machine learning; Psychology","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":[0.002252618,0.0002394256,0.0005102524,0.0003207864,0.0006798539,0.000448121,0.0005724326,0.0002004383,0.00000206543],"category_scores_gemma":[0.0009573933,0.0002341228,0.0001179348,0.0002084679,0.00007433929,0.0003411223,0.0002334787,0.000941324,3.73228e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006714134,"about_ca_system_score_gemma":0.0002991056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489556,"about_ca_topic_score_gemma":8.436283e-7,"domain_scores_codex":[0.9981262,0.0002264183,0.0007097857,0.000267654,0.0004033925,0.0002665628],"domain_scores_gemma":[0.9968762,0.001479492,0.000729163,0.0001417566,0.0006768096,0.00009655731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001165904,0.00111281,0.01507372,0.0004659403,0.0002081965,0.00001558999,0.006079994,0.0001675337,0.0001224641,0.965827,0.0001685202,0.0106416],"study_design_scores_gemma":[0.009700251,0.001896454,0.001300932,0.0008963569,0.0002009652,0.00004908862,0.004575165,0.07734111,0.0002560786,0.9017689,0.001510943,0.0005038148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339453,0.0003600778,0.1568096,0.0004491705,0.007765048,0.0003416375,0.000005410203,0.0001028642,0.000220868],"genre_scores_gemma":[0.9911149,0.00001794816,0.008332818,0.00005459039,0.0004340083,0.000007426212,0.000005996739,0.00001586834,0.00001644845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1571696,"threshold_uncertainty_score":0.9547249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02273924248928106,"score_gpt":0.3058802053901289,"score_spread":0.2831409629008479,"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."}}