{"id":"W4409604900","doi":"10.61091/jcmcc127b-318","title":"Research on Teaching Reform Supported by Multi-Objective Optimization Algorithm for the Process of Civicization of Yoga Courses in 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":"Process (computing); Optimization algorithm; Computer science; Mathematics education; Medical education; Psychology; Algorithm; Medicine; Mathematical optimization; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003980538,0.00008912558,0.0003284911,0.0002354989,0.0004482463,0.00004573586,0.0002567042,0.0001288739,0.000004715943],"category_scores_gemma":[0.001136189,0.0000663028,0.00006358473,0.0004360157,0.0002860588,0.0001297858,0.00004519941,0.0003465316,5.826896e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469673,"about_ca_system_score_gemma":0.0005371298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003894902,"about_ca_topic_score_gemma":0.000004661384,"domain_scores_codex":[0.9983465,0.0002995719,0.0005786096,0.0000965794,0.0004713287,0.0002074061],"domain_scores_gemma":[0.9954396,0.002667542,0.0005120682,0.00007325756,0.001260001,0.00004747927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008305666,0.0007052956,0.00009063795,0.0001173724,0.00003816501,3.274162e-7,0.009285418,0.0006946112,0.00002063133,0.987151,0.00009150962,0.001721938],"study_design_scores_gemma":[0.005991112,0.001577678,0.0003738192,0.001374865,0.0001406923,0.000001457601,0.2050859,0.1225819,0.0025705,0.6594778,0.000590408,0.0002337757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8668391,0.0002677164,0.1142062,0.001517726,0.008066029,0.001192924,0.00001534664,0.00001876808,0.007876286],"genre_scores_gemma":[0.9975096,0.00003120826,0.002187835,0.00001105925,0.0002127283,0.00000365546,0.000001913585,0.000005496515,0.00003649892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3276732,"threshold_uncertainty_score":0.3447594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931367603437036,"score_gpt":0.3842215978447769,"score_spread":0.3549079218104065,"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."}}