{"id":"W4410206540","doi":"10.28924/2291-8639-23-2025-112","title":"University Rankings Prediction Using Hybrid Feature Selection Based on Machine Learning Methods","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mahasarakham University","keywords":"Feature selection; Selection (genetic algorithm); Machine learning; Mathematics; Artificial intelligence; Feature (linguistics); Computer science; Linguistics","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":[0.0003761881,0.00005730802,0.0001068426,0.0008792324,0.0001712524,0.00006091639,0.0003372628,0.00003505642,0.000008175745],"category_scores_gemma":[0.00002590034,0.00005418303,0.0001029848,0.0008968194,0.00002536671,0.000163764,0.00004202408,0.0002168707,3.174644e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170819,"about_ca_system_score_gemma":0.00009937665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001156785,"about_ca_topic_score_gemma":0.000002459469,"domain_scores_codex":[0.9994135,0.00007913989,0.0001515574,0.0001371836,0.0001676201,0.00005099531],"domain_scores_gemma":[0.9991776,0.0001270009,0.0002184773,0.00008192861,0.0003695983,0.00002537921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001221783,0.0007791198,0.2177185,0.00001368728,0.00422015,0.00001038024,0.0001107353,0.1594525,0.00901869,0.3657761,0.0006311405,0.2421469],"study_design_scores_gemma":[0.0003040383,0.00004432682,0.0231372,0.00002374576,0.000345363,0.00001833996,0.00004013594,0.9360548,0.002350498,0.004303069,0.03331428,0.00006419613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007788449,0.00005530362,0.9875945,0.004091327,0.00008316,0.0000384417,0.000005027354,0.00002038515,0.0003234258],"genre_scores_gemma":[0.8354185,0.00005311494,0.1640614,0.0001585754,0.00005144252,0.000001555834,0.00001077473,0.000001523903,0.0002431116],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8276301,"threshold_uncertainty_score":0.220952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0081264407224325,"score_gpt":0.3304323343270016,"score_spread":0.3223058936045691,"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."}}