{"id":"W4387378065","doi":"10.59934/jaiea.v3i1.251","title":"Determining The Selection Of Departments At Abdi Negara Vocational School Using The Additive Ratio Assessment (Aras) Method","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Vocational education; Quality (philosophy); Competition (biology); Process (computing); Psychology; Mathematics education; Selection (genetic algorithm); Work (physics); Globalization; Data collection; Drop out; Vocational school; Public relations; Marketing; Medical education; Pedagogy; Computer science; Business; Political science; Sociology; Engineering; Economics; Social science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0008188167,0.0000934066,0.0001214461,0.000219208,0.0003780669,0.00007817912,0.0004174956,0.00005532286,0.00001325354],"category_scores_gemma":[0.0001383835,0.00006742701,0.00005566831,0.0008940214,0.0000589142,0.0001729095,0.00008584208,0.0002904077,0.000008450058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009331568,"about_ca_system_score_gemma":0.0001134037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004529039,"about_ca_topic_score_gemma":0.00000275247,"domain_scores_codex":[0.9990078,0.00005715936,0.000428516,0.0001400122,0.0002203191,0.0001461924],"domain_scores_gemma":[0.9987413,0.0004300768,0.0003148844,0.0001936061,0.0002712795,0.00004891268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001093532,0.000167769,0.004009341,0.00002892825,0.0002125684,0.000001542545,0.002470208,0.5566956,0.03283531,0.1008581,0.0005327127,0.302177],"study_design_scores_gemma":[0.00003213545,0.00005521784,0.01187989,0.00002408989,0.00003247743,0.00005542724,0.0006665611,0.9628531,0.01914504,0.001966528,0.003188923,0.0001006227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07375547,0.00003949521,0.9246154,0.001195836,0.0001672872,0.0001632826,0.000001439076,0.00004291967,0.00001889801],"genre_scores_gemma":[0.8994017,0.00005838799,0.1002462,0.00006281325,0.0001460956,0.00005223081,0.000002271857,0.00000837395,0.00002191667],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8256462,"threshold_uncertainty_score":0.2907823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03773116696589238,"score_gpt":0.3481463813619124,"score_spread":0.31041521439602,"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."}}