{"id":"W4409603696","doi":"10.61091/jcmcc127b-224","title":"Research on the Construction and Application of Educational Big Data-Driven Subject Knowledge Graph in Colleges and Universities","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Graph; Mathematics education; Computer science; Big data; Knowledge graph; Data science; Knowledge management; World Wide Web; Information retrieval; Psychology; Theoretical computer science; Data mining","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":[0.0009275122,0.0005551528,0.0003414045,0.00414074,0.0006032714,0.001507173,0.001024219,0.0007499887,0.001349509],"category_scores_gemma":[0.005635316,0.0002216646,0.0007803853,0.005352649,0.0007399339,0.004734227,0.001063746,0.001231361,0.0004105029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001607009,"about_ca_system_score_gemma":0.001748329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01989745,"about_ca_topic_score_gemma":0.03127025,"domain_scores_codex":[0.9991363,0.0002802865,0.0000512657,0.0002895074,0.0001799455,0.0000628106],"domain_scores_gemma":[0.9971661,0.001292569,0.0002909435,0.0005972831,0.0004629731,0.0001900314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001631324,0.0005200705,0.08189669,0.0009901384,0.0002614074,0.0004018469,0.00145185,0.08838617,0.005605211,0.05949143,0.01954418,0.7412879],"study_design_scores_gemma":[0.00001777357,0.00008037166,0.03790555,0.0002282492,0.0001064114,0.000239072,0.001998426,0.7939594,0.008534674,0.1157656,0.04110704,0.00005747679],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3141913,0.005808662,0.6415761,0.00598321,0.0003963436,0.0003337777,0.01064279,0.004179864,0.01688788],"genre_scores_gemma":[0.7974095,0.003093583,0.1797422,0.0004813174,0.0001009373,0.0001543127,0.01531403,0.0001396176,0.00356447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01989745,"threshold_uncertainty_score":0.0395633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03190751599745879,"score_gpt":0.3181239570647738,"score_spread":0.286216441067315,"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."}}