{"id":"W4244034953","doi":"10.35940/ijrte.f9043.038620","title":"Prediction for University Admission using Machine Learning","year":2020,"lang":"en","type":"article","venue":"International Journal of Recent Technology and Engineering (IJRTE)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test of English as a Foreign Language; Scholarship; Higher education; Test (biology); Foreign language; Medical education; Mathematics education; Political science; Psychology; English language; Medicine; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001743075,0.0008590791,0.0008213565,0.004211415,0.0005775567,0.002042101,0.001085682,0.001725705,0.007520462],"category_scores_gemma":[0.009172677,0.000219972,0.0009117312,0.00221093,0.0003229989,0.001340784,0.0007753515,0.002186256,0.004761557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009727547,"about_ca_system_score_gemma":0.0009391297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134601,"about_ca_topic_score_gemma":0.008091242,"domain_scores_codex":[0.9989427,0.0001738068,0.000128319,0.0002593957,0.0002442046,0.0002514697],"domain_scores_gemma":[0.9952139,0.002134778,0.0006490827,0.0001927498,0.000994954,0.000814588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00102632,0.001607368,0.7883835,0.000194245,0.0001985202,0.0005976917,0.000133793,0.04025352,0.0005205271,0.0006313876,0.02734378,0.1391093],"study_design_scores_gemma":[0.00006784904,0.0004277151,0.2190105,0.0001236184,0.0001198643,0.0003640947,0.0004911688,0.7709569,0.001228051,0.002880551,0.004236047,0.00009375096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479557,0.002409331,0.02381104,0.003449622,0.001036514,0.0002578172,0.01086223,0.002661742,0.007556044],"genre_scores_gemma":[0.9820337,0.000579036,0.004038726,0.0001432053,0.0002985743,0.00008144186,0.009966392,0.0000465937,0.002812457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134601,"threshold_uncertainty_score":0.02515846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820013229567464,"score_gpt":0.2355586060384557,"score_spread":0.2173584737427811,"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."}}