{"id":"W3217111336","doi":"10.1145/3482632.3487502","title":"Analysis on the level of higher universities in different countries using entropy weight method and analytic hierarchy process","year":2021,"lang":"en","type":"article","venue":"","topic":"Educational and Technological Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Higher education; Analytic hierarchy process; Sustainability; Entropy (arrow of time); Government (linguistics); Computer science; Principal component analysis; Business; Environmental economics; Public economics; Econometrics; Economic growth; Political science; Actuarial science; Economics; Operations research; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00356089,0.0003457048,0.0005624479,0.01307282,0.0009007418,0.002219845,0.0004259059,0.0003420571,0.002799853],"category_scores_gemma":[0.01053009,0.0002023155,0.001262303,0.01744777,0.0005838283,0.001630416,0.001225812,0.0005283636,0.000313142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123797,"about_ca_system_score_gemma":0.001700848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009561941,"about_ca_topic_score_gemma":0.006399699,"domain_scores_codex":[0.9958227,0.0012086,0.0003733213,0.0003519912,0.001931883,0.0003114468],"domain_scores_gemma":[0.9943706,0.002606428,0.0009766718,0.0003597859,0.001454117,0.0002324511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002352127,0.0002249194,0.683972,0.0005517529,0.001136698,0.0003665025,0.004378328,0.04844073,0.002913489,0.0417627,0.003298205,0.2127195],"study_design_scores_gemma":[0.00004023864,0.0002645959,0.8044372,0.000135753,0.0003433923,0.0001410578,0.005383262,0.1510759,0.003444611,0.02672042,0.007881598,0.0001319216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8624269,0.0004981212,0.1128131,0.0003836714,0.00004993038,0.000322093,0.002993408,0.0002638875,0.02024867],"genre_scores_gemma":[0.969041,0.0001639669,0.02795101,0.00001631294,0.0000176326,0.0001613468,0.00144765,0.00001492711,0.001186059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9869272,"threshold_uncertainty_score":0.01901257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063198421404209,"score_gpt":0.3744214762243873,"score_spread":0.2681016340839664,"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."}}