{"id":"W4389841251","doi":"10.5267/j.dsl.2023.9.002","title":"Evaluation approach of the mechanical engineering competency test certification using the assessment evaluability and performance monitoring model","year":2023,"lang":"en","type":"article","venue":"Decision Science Letters","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Negeri Jakarta","keywords":"TOPSIS; Certification; Vocational education; Context (archaeology); Nonprobability sampling; Computer science; Engineering management; Process management; Engineering; Management science; Operations research; Psychology; Management; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02421322,0.0007369418,0.0005881528,0.004755114,0.000871626,0.003159428,0.0008129443,0.0005621368,0.002227293],"category_scores_gemma":[0.0299329,0.0002052808,0.0008544135,0.00241666,0.0008890312,0.002316541,0.001569736,0.0008066492,0.0002963321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004783022,"about_ca_system_score_gemma":0.007294534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003147847,"about_ca_topic_score_gemma":0.002934992,"domain_scores_codex":[0.954909,0.02891641,0.001709986,0.001282522,0.01244672,0.0007353239],"domain_scores_gemma":[0.9787714,0.01023646,0.002276042,0.000875018,0.007367959,0.0004732403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009003205,0.001841384,0.07228736,0.002224935,0.0004512466,0.0002080019,0.006389354,0.02853815,0.008205611,0.07736687,0.003582127,0.7980047],"study_design_scores_gemma":[0.0006931949,0.01184977,0.2867219,0.004362216,0.001316704,0.001291436,0.02814941,0.4774799,0.03667434,0.07526131,0.075632,0.000567927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3045898,0.001863258,0.574279,0.002472118,0.0001990314,0.005636162,0.0003679722,0.0004027313,0.1101899],"genre_scores_gemma":[0.8605192,0.0004435738,0.1349405,0.0001092893,0.00002756339,0.001585371,0.00015335,0.00001701713,0.002204122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02421322,"threshold_uncertainty_score":0.1280533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1742138864175095,"score_gpt":0.4525845003930096,"score_spread":0.2783706139755,"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."}}