{"id":"W4408892531","doi":"10.61091/jcmcc125-13","title":"The quality evaluation and development of university ideological and political teaching based on wireless network artificial intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ideology; Politics; Computer science; Quality (philosophy); Wireless network; Artificial intelligence; Wireless; Engineering management; Engineering; Political science; Telecommunications; Philosophy; Epistemology","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":[0.02422619,0.0002567625,0.0003719764,0.005108831,0.001056722,0.004573192,0.0007744805,0.0005676935,0.002057882],"category_scores_gemma":[0.08063441,0.0002190275,0.0003180156,0.002980379,0.001911854,0.004359925,0.002470085,0.0007858752,0.0003216637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003688456,"about_ca_system_score_gemma":0.002986345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00317753,"about_ca_topic_score_gemma":0.003508086,"domain_scores_codex":[0.9822948,0.01153614,0.0006131256,0.0006758138,0.004360247,0.0005197959],"domain_scores_gemma":[0.9399673,0.03631058,0.006275814,0.005193146,0.01117187,0.001081196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005067508,0.0006717315,0.1951754,0.0002620663,0.00008615473,0.00008638724,0.005344941,0.01893187,0.002973232,0.07324726,0.00260152,0.7001126],"study_design_scores_gemma":[0.000162707,0.001265465,0.2662753,0.0004435882,0.0001928294,0.0002105763,0.01390483,0.5680768,0.02525868,0.1010382,0.02301591,0.0001549885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6999189,0.0004611506,0.2167335,0.002875728,0.0001286616,0.0006120642,0.0001856888,0.0004620588,0.07862217],"genre_scores_gemma":[0.9694295,0.0001002953,0.02944892,0.00003685952,0.00001702111,0.00007130163,0.00005654183,0.0000237318,0.0008158763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02422619,"threshold_uncertainty_score":0.1281219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630694947587126,"score_gpt":0.321432996369483,"score_spread":0.2851260468936118,"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."}}