{"id":"W4392942961","doi":"10.1109/icmla58977.2023.00253","title":"Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates","year":2023,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Knowledge management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002576118,0.0005286267,0.0004110736,0.003234629,0.0004509604,0.001240323,0.0004428471,0.0007706716,0.001068153],"category_scores_gemma":[0.007545963,0.0001658318,0.0006365657,0.001634507,0.0001838564,0.0007037524,0.0004379656,0.0007921982,0.0005693416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858877,"about_ca_system_score_gemma":0.0007181851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007132469,"about_ca_topic_score_gemma":0.00967663,"domain_scores_codex":[0.9995254,0.0002066103,0.0000350165,0.00006036719,0.00009233982,0.0000802906],"domain_scores_gemma":[0.9953765,0.00345923,0.0003520154,0.0001054212,0.0004095353,0.0002973266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002184981,0.0007672873,0.8233167,0.00005103262,0.00009178752,0.0001375525,0.0002286938,0.06256901,0.00072821,0.0004824233,0.00144,0.1099689],"study_design_scores_gemma":[0.0000161084,0.0004161077,0.2641593,0.00005456766,0.00004979495,0.00005751151,0.0006864956,0.7314368,0.0009901884,0.001346815,0.0007549836,0.00003129108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897516,0.0001764005,0.007482487,0.0002592858,0.00002650055,0.00005302969,0.0003630269,0.00008585719,0.001801837],"genre_scores_gemma":[0.9933265,0.0001204094,0.00515919,0.00002353559,0.00001754391,0.00003344125,0.0006614204,0.00000511215,0.0006528483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007132469,"threshold_uncertainty_score":0.01418191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01402260079360134,"score_gpt":0.2925771042125999,"score_spread":0.2785545034189985,"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."}}