{"id":"W4409791008","doi":"10.61091/jcmcc127a-462","title":"Optimization and realization path of moral education flipped classroom teaching model based on intelligent computing in colleges and universities","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":"Realization (probability); Path (computing); Flipped classroom; Mathematics education; Computer science; Moral education; Flipped learning; Psychology; Pedagogy; Mathematics; Computer network","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":[0.0005474248,0.0005265082,0.0006593409,0.0006490911,0.0005905835,0.001079245,0.001319414,0.0008354062,0.003025283],"category_scores_gemma":[0.001116851,0.0002590431,0.00063808,0.0004881427,0.0003947263,0.001242986,0.0006376526,0.0005450984,0.0003764518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346898,"about_ca_system_score_gemma":0.001898431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03080466,"about_ca_topic_score_gemma":0.02149211,"domain_scores_codex":[0.9996124,0.00006723032,0.00001736648,0.0001137802,0.00007818588,0.0001110411],"domain_scores_gemma":[0.9997057,0.00007586538,0.00003226195,0.00002667172,0.0001123308,0.00004704169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001293536,0.0001706129,0.006788406,0.000061408,0.00004723106,0.0001423432,0.0001225584,0.8640358,0.002883925,0.01087405,0.002108588,0.1126357],"study_design_scores_gemma":[0.00000772507,0.00001942312,0.0004104918,0.000002365561,0.00001043422,0.00001092367,0.00002362287,0.9975999,0.0003876027,0.001272043,0.0002508111,0.00000467725],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2426428,0.0002995413,0.7454041,0.0004150357,0.0000662051,0.0001252228,0.0002166871,0.0006549994,0.01017533],"genre_scores_gemma":[0.9331592,0.0001531399,0.06191946,0.00004289939,0.0000120951,0.0001260495,0.0002091729,0.00003282989,0.004345076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03080466,"threshold_uncertainty_score":0.06125075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01660438694366711,"score_gpt":0.3037001005662061,"score_spread":0.2870957136225389,"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."}}