{"id":"W4409576380","doi":"10.61091/jcmcc127a-133","title":"An empirical study of multi-factor decision tree analysis in the optimization of university management evaluation system","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Factor (programming language); Decision tree; Computer science; Management science; Operations research; Engineering; Artificial intelligence; Programming language","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":[0.01893389,0.0008758929,0.001010813,0.003067555,0.001060702,0.002212219,0.00079745,0.0008189618,0.002322324],"category_scores_gemma":[0.05075309,0.000363245,0.0015195,0.00518533,0.000685234,0.003686788,0.0009059496,0.001349128,0.0001959249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0024303,"about_ca_system_score_gemma":0.002994597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007088651,"about_ca_topic_score_gemma":0.005331133,"domain_scores_codex":[0.9854599,0.01067293,0.0006552059,0.0007701004,0.001773708,0.0006682982],"domain_scores_gemma":[0.957253,0.03582398,0.001673956,0.0008969022,0.003669067,0.000683161],"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":[0.001210927,0.00292598,0.2441446,0.001203785,0.0006783549,0.0004466391,0.003798431,0.4267999,0.002128666,0.03245187,0.002489226,0.2817216],"study_design_scores_gemma":[0.00006223626,0.0007283143,0.02770292,0.00008187006,0.0001204455,0.00006930612,0.001263681,0.9639251,0.0007670504,0.004409838,0.0008156917,0.00005360181],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553238,0.0004010509,0.1394801,0.0002560997,0.00004219816,0.0005014727,0.0002120446,0.00008783134,0.003695276],"genre_scores_gemma":[0.956355,0.0001583594,0.04286046,0.00001687416,0.000009555064,0.0001799288,0.0001367099,0.00001247296,0.0002704953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01893389,"threshold_uncertainty_score":0.1001332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777358397593516,"score_gpt":0.3427265717916007,"score_spread":0.3149529878156655,"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."}}