{"id":"W4393133270","doi":"10.23977/jeis.2024.090109","title":"Application of Big Data Analytics in University Management and Decision-Making","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"AI and HR Technologies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Data science; Analytics; Computer science; Data analysis; Data management; Data mining","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":[0.01027752,0.001073426,0.001014309,0.005665874,0.001487193,0.00852597,0.001583585,0.002044106,0.001629646],"category_scores_gemma":[0.02329442,0.0005452008,0.0008571048,0.006829849,0.002235073,0.006339474,0.002964228,0.002752209,0.0004275548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002638607,"about_ca_system_score_gemma":0.003980292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003605768,"about_ca_topic_score_gemma":0.003867474,"domain_scores_codex":[0.9897077,0.00617891,0.0007759621,0.0006355654,0.002350572,0.0003513074],"domain_scores_gemma":[0.9654428,0.02702744,0.001914533,0.002498744,0.002351356,0.000765112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002530428,0.0005952205,0.02782472,0.002397823,0.0008050569,0.0008675924,0.002688187,0.1540717,0.00214564,0.3429515,0.01956177,0.4458377],"study_design_scores_gemma":[0.0000481466,0.000130925,0.006133871,0.001231242,0.0001072675,0.0002258667,0.004571289,0.251123,0.003185843,0.677442,0.05564577,0.0001549376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05896193,0.02459984,0.7824343,0.0509679,0.001701383,0.001006368,0.002440343,0.001094334,0.0767937],"genre_scores_gemma":[0.6991444,0.01396471,0.2802874,0.002321124,0.001247479,0.0003959807,0.0009911535,0.0000820425,0.001565797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01027752,"threshold_uncertainty_score":0.05435342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987856072214997,"score_gpt":0.2539216960421674,"score_spread":0.2340431353200174,"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."}}