{"id":"W4409579967","doi":"10.61091/jcmcc127a-079","title":"Research on Algorithm Optimization and Application in Intelligent Class Scheduling System","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Class (philosophy); Mathematical optimization; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499722,0.0006107946,0.0006446704,0.0008001236,0.0005695647,0.001159699,0.0007310588,0.0006596599,0.002111755],"category_scores_gemma":[0.001951818,0.0002457293,0.0006661037,0.0009973072,0.0005154958,0.001342533,0.0004186847,0.0006217225,0.0002826554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008373692,"about_ca_system_score_gemma":0.001560258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005821836,"about_ca_topic_score_gemma":0.001989717,"domain_scores_codex":[0.9993197,0.0001660203,0.00004232692,0.0001782402,0.0002238964,0.00006993894],"domain_scores_gemma":[0.9995221,0.0002301097,0.00004620682,0.00003491485,0.0001489498,0.00001776786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006924113,0.00007669516,0.002271242,0.0002061139,0.0000686875,0.00005570217,0.0001303717,0.7558221,0.006678447,0.0379837,0.001492803,0.1951451],"study_design_scores_gemma":[0.00001301054,0.00003716209,0.0004201995,0.000009825447,0.00001467997,0.00002731259,0.00002016862,0.9903989,0.001482859,0.00521483,0.002352381,0.000008701892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01858295,0.0005747715,0.9742675,0.000176989,0.00005033834,0.00003850986,0.00001933611,0.0002896777,0.005999863],"genre_scores_gemma":[0.6866103,0.001877991,0.3046244,0.0001464691,0.0001179063,0.0002341968,0.0001468847,0.0001753496,0.006066443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005821836,"threshold_uncertainty_score":0.01157588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331629664251935,"score_gpt":0.2773467724235236,"score_spread":0.2640304757810042,"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."}}