{"id":"W4409604952","doi":"10.61091/jcmcc127b-322","title":"Construction of Fuzzy Information Assessment Method Based on Fuzzy Logistic Regression Algorithm in the Performance Evaluation of School-Enterprise Integration of Higher Vocational Hospitality Management Major","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hospitality; Logistic regression; Fuzzy logic; Vocational education; Computer science; Artificial intelligence; Mathematics; Algorithm; Machine learning; Psychology; Tourism; Geography; Pedagogy","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":[0.004500066,0.0001597188,0.0004143155,0.000787203,0.0001205341,0.00007024487,0.000300461,0.0001201503,0.000006368439],"category_scores_gemma":[0.0003683163,0.0001202261,0.00008714404,0.0009168413,0.0001144041,0.0005362182,0.00009692776,0.0003207599,4.133639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072254,"about_ca_system_score_gemma":0.0001157827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046564,"about_ca_topic_score_gemma":5.017599e-7,"domain_scores_codex":[0.997443,0.0001039478,0.00137176,0.0001058203,0.0008608259,0.0001146195],"domain_scores_gemma":[0.9957522,0.0003100458,0.002173313,0.0002290372,0.001526992,0.000008450097],"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":[0.00007162366,0.0005919482,0.003482291,0.0005389621,0.00006876852,3.862133e-7,0.00009167999,0.0004510589,0.00007505086,0.9474128,0.0001202007,0.04709524],"study_design_scores_gemma":[0.006744629,0.0003027305,0.06441487,0.002377236,0.0005183997,0.000002561363,0.002203221,0.1801159,0.0005179656,0.7425201,0.00009818906,0.0001842094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417881,0.00004116971,0.04078904,0.0008634492,0.005296859,0.0008276274,0.000003951387,0.00001653601,0.01037331],"genre_scores_gemma":[0.9798712,0.000006412279,0.0198784,0.00006244728,0.0001519143,0.000008993392,0.00001411658,0.000005518215,0.000001042263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2048927,"threshold_uncertainty_score":0.4902679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330005400634803,"score_gpt":0.3212581669090894,"score_spread":0.2979581129027414,"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."}}