{"id":"W4409602124","doi":"10.61091/jcmcc127b-046","title":"Intelligent English Classroom Interaction Design and Teaching Method Optimization Based on Deep Reinforcement Learning","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":"","keywords":"Reinforcement learning; Computer science; Reinforcement; Mathematics education; Human–computer interaction; Artificial intelligence; Psychology; Social 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":[0.002944966,0.0002099597,0.0004064174,0.0004430644,0.0004279903,0.0002903052,0.000418763,0.0001733654,0.00000308597],"category_scores_gemma":[0.001533048,0.0001966065,0.000078849,0.0002118967,0.00003915537,0.0002941151,0.0002084532,0.0008925936,4.544998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306416,"about_ca_system_score_gemma":0.0001722693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003073653,"about_ca_topic_score_gemma":4.902242e-8,"domain_scores_codex":[0.9980507,0.0003751383,0.0007768307,0.0002383886,0.0003498629,0.0002090202],"domain_scores_gemma":[0.9960671,0.002433236,0.0007414473,0.0002065358,0.0004644278,0.0000872555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004763814,0.000181947,0.00004890414,0.00004972447,0.00004226535,0.000002387241,0.0009248083,0.2950022,0.00002461573,0.6967008,0.00004168228,0.006933015],"study_design_scores_gemma":[0.001149762,0.0006548006,0.00001094491,0.0003181509,0.00003702265,0.00001459224,0.0003657354,0.8171082,0.0005071246,0.1791794,0.0005164023,0.0001379577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004271594,0.00007796429,0.9834269,0.0004534388,0.01010317,0.0002054471,3.704467e-8,0.00006329222,0.001398168],"genre_scores_gemma":[0.7324826,0.00001995041,0.2671084,0.00006749262,0.0003002473,0.000002594254,6.867521e-7,0.000009051187,0.000009031981],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7282109,"threshold_uncertainty_score":0.8017378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143192872466197,"score_gpt":0.3163865969299273,"score_spread":0.2949546682052653,"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."}}