{"id":"W4408894138","doi":"10.61091/jcmcc125-16","title":"A combinatorial approach to evaluating employment competitiveness in university student: Integrating AHP and FKCM clustering algorithms","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Analytic hierarchy process; Computer science; Combinatorial algorithms; Operations research; Algorithm; Machine learning; Data mining; 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":[0.01096126,0.001025922,0.00139293,0.009998885,0.001109796,0.002662011,0.001341877,0.0008368989,0.001310847],"category_scores_gemma":[0.02731168,0.0003745152,0.00158395,0.006665673,0.001093182,0.001442283,0.0016435,0.000923962,0.0001463291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002197091,"about_ca_system_score_gemma":0.002984043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007870989,"about_ca_topic_score_gemma":0.008016593,"domain_scores_codex":[0.9919206,0.004807164,0.0004966403,0.0006049288,0.001939971,0.0002307602],"domain_scores_gemma":[0.9859141,0.01079383,0.001026948,0.000445879,0.001611877,0.0002072625],"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":[0.0002876864,0.0004661513,0.03411838,0.0005484152,0.0007007046,0.0001720259,0.0006794147,0.6817784,0.001733469,0.0218999,0.001050668,0.2565647],"study_design_scores_gemma":[0.00002968389,0.0001904312,0.00863717,0.00006933807,0.00005357535,0.00005301596,0.0006601351,0.9711409,0.0005474314,0.01805114,0.0005154696,0.00005177678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1089665,0.0003474691,0.8864982,0.0002800727,0.00004386483,0.0006448251,0.0003083257,0.000184761,0.002725957],"genre_scores_gemma":[0.5280039,0.0001460648,0.4704534,0.00005818631,0.0000281074,0.0006328704,0.0003498654,0.00002843679,0.0002992564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01096126,"threshold_uncertainty_score":0.05796939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083196915144155,"score_gpt":0.274800804273199,"score_spread":0.2539688351217575,"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."}}