{"id":"W4379418725","doi":"10.22214/ijraset.2023.53463","title":"Post Graduate Admission Prediction Using ANN","year":2023,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Investment (military); Process (computing); Test of English as a Foreign Language; Computer science; Entrance exam; Interface (matter); Business; Engineering management; Finance; Engineering; Mathematics education; Psychology; Political science; Pedagogy; Curriculum; Language education","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":[0.0007577586,0.0007415604,0.0004895264,0.001692825,0.0003243799,0.001082525,0.0006523128,0.000855431,0.005516578],"category_scores_gemma":[0.003701164,0.0001794647,0.0005074808,0.0009711254,0.0001278129,0.0005807766,0.0004172058,0.0009216747,0.001761817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422691,"about_ca_system_score_gemma":0.0004969562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006909726,"about_ca_topic_score_gemma":0.006843969,"domain_scores_codex":[0.9995733,0.00006324425,0.00004793051,0.0001051333,0.0001213129,0.00008911914],"domain_scores_gemma":[0.9983829,0.0006443115,0.000176109,0.00006232342,0.0005666816,0.0001676693],"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":[0.001103323,0.002015906,0.3804485,0.0002276471,0.0002484507,0.0007504237,0.0001293368,0.2579345,0.003160666,0.0005485904,0.01574745,0.3376852],"study_design_scores_gemma":[0.00000985817,0.0001648844,0.03765086,0.00003405767,0.00003102222,0.00008237662,0.00006656673,0.9590732,0.001414112,0.0005151085,0.000937488,0.00002048835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287937,0.0006605812,0.05241029,0.0008939257,0.0004466064,0.0001829425,0.003398558,0.002182642,0.01103083],"genre_scores_gemma":[0.9843686,0.0002031422,0.006915495,0.00007330974,0.00006778129,0.00006656518,0.002747755,0.00002599535,0.005531332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006909726,"threshold_uncertainty_score":0.01845485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133274004111216,"score_gpt":0.4284899678634922,"score_spread":0.3151625674523706,"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."}}