{"id":"W4409787587","doi":"10.61091/jcmcc127a-276","title":"Research on Content innovation path design of ideological and political education in network environment based on artificial intelligence reinforcement learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Ideological and Political Education","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Reinforcement; Reinforcement learning; Path (computing); Politics; Computer science; Artificial intelligence; Engineering; Political science","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":[0.001496855,0.0005725545,0.0007014374,0.0014175,0.0007627899,0.001542126,0.00122535,0.0007923412,0.002263092],"category_scores_gemma":[0.005151274,0.0003042137,0.0007765923,0.001166951,0.0007354629,0.002888867,0.0008039331,0.0007027595,0.0003557804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608699,"about_ca_system_score_gemma":0.002328339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007308356,"about_ca_topic_score_gemma":0.004441144,"domain_scores_codex":[0.998612,0.0004413955,0.00007566655,0.0003686584,0.0003146703,0.0001875273],"domain_scores_gemma":[0.997852,0.001038615,0.0002068443,0.0001653125,0.0005757226,0.0001615377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002092244,0.0005241953,0.02529371,0.0004918835,0.0002075087,0.000238448,0.0006317695,0.4958462,0.009403753,0.0585099,0.003196127,0.4054473],"study_design_scores_gemma":[0.00003061841,0.0001003063,0.0019442,0.00001803023,0.00005235713,0.00005507132,0.0001419422,0.9828973,0.002207926,0.01019649,0.002339332,0.00001645342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1183761,0.0007106027,0.8699703,0.000616608,0.00008205656,0.0002064071,0.00009364114,0.0006310791,0.009313101],"genre_scores_gemma":[0.8606084,0.0006956744,0.1341674,0.0001210183,0.00003986076,0.0002579422,0.000179924,0.00005465248,0.003875002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007308356,"threshold_uncertainty_score":0.01453167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1071576148145708,"score_gpt":0.3832030491908645,"score_spread":0.2760454343762936,"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."}}