{"id":"W4285387971","doi":"10.1145/3534562","title":"A Decision Model for Ranking Asian Higher Education Institutes Using an NLP-Based Text Analysis Approach","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Asian and Low-Resource Language Information Processing","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Multiple-criteria decision analysis; Ranking (information retrieval); Centroid; Identification (biology); Selection (genetic algorithm); Computer science; Rank (graph theory); TOPSIS; Higher education; Artificial intelligence; Function (biology); Decision analysis; Decision model; Machine learning; Data mining; Operations research; Mathematics; Statistics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003273881,0.00016526,0.0001650364,0.0009434222,0.001321214,0.0003342747,0.0005650726,0.00008179547,0.0000338754],"category_scores_gemma":[0.00001705439,0.0001685903,0.00008992967,0.001192979,0.00004439124,0.001793781,0.00002465481,0.0002590095,0.000001051368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146167,"about_ca_system_score_gemma":0.0003976624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001208286,"about_ca_topic_score_gemma":0.000004581122,"domain_scores_codex":[0.9988052,0.00004639618,0.0003396234,0.0002817208,0.0003204139,0.0002066864],"domain_scores_gemma":[0.9991162,0.00004752487,0.0002082005,0.0004611881,0.00008234086,0.00008453463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002760592,0.0003246267,0.00002316714,0.00005873828,0.0000351665,2.154469e-7,0.007906365,0.3866699,0.0000640668,0.001792221,0.00001294192,0.6030849],"study_design_scores_gemma":[0.0004383749,0.00004611371,0.0002169789,0.00003304036,0.00009471759,0.000009730888,0.007406992,0.9892413,0.000207778,0.001087381,0.001004789,0.0002128132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0236143,0.00006832236,0.9738256,0.001221032,0.00008966641,0.0002964278,0.00001985406,0.0001813718,0.0006834709],"genre_scores_gemma":[0.7402076,5.105506e-7,0.2584296,0.000984036,0.00001682808,0.0001622893,0.0001061999,0.000007255662,0.00008567684],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7165933,"threshold_uncertainty_score":0.9999789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038411021066483,"score_gpt":0.2964568092918321,"score_spread":0.2760726990811673,"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."}}