{"id":"W4409602108","doi":"10.61091/jcmcc127b-049","title":"Optimization of Civic Education Teaching Strategies Based on Reinforcement Learning and Its Numerical Simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Reinforcement; Mathematics education; Computer science; Psychology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193998,0.0006168105,0.0007539992,0.0005352236,0.0004391272,0.0007642658,0.0006250219,0.000797987,0.001742227],"category_scores_gemma":[0.00325761,0.0003159684,0.0005864313,0.0003579236,0.0005463038,0.0005823308,0.000690765,0.0007481545,0.0001008624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127537,"about_ca_system_score_gemma":0.001465234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137487,"about_ca_topic_score_gemma":0.008259344,"domain_scores_codex":[0.9996353,0.0001522753,0.00001859704,0.00005829519,0.00005900621,0.00007647683],"domain_scores_gemma":[0.9982797,0.001200736,0.0001569617,0.00004515848,0.0002358529,0.00008164287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002605665,0.00004089142,0.001092267,0.00002844588,0.00001231658,0.00002190095,0.00002272795,0.9930949,0.0002219097,0.00126902,0.0001087238,0.004060888],"study_design_scores_gemma":[0.000006569256,0.00001723546,0.0001129286,0.000002027865,0.000003642139,0.000002000245,0.000006042862,0.9994503,0.00007320086,0.0002788834,0.00004545618,0.000001779355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4560225,0.0006310945,0.5287314,0.0006031542,0.00009615126,0.0002437642,0.0001175948,0.0003237602,0.01323062],"genre_scores_gemma":[0.9778174,0.0001251548,0.02063934,0.00003684784,0.00000627877,0.0001396924,0.00003927695,0.000009226123,0.001186811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02137487,"threshold_uncertainty_score":0.04250091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543054880407504,"score_gpt":0.3357901512513345,"score_spread":0.3203596024472595,"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."}}