{"id":"W3101737917","doi":"10.53514/ir.v1i1.7","title":"PERANCANGAN TATA KELOLA TEKNOLOGI INFORMASI PADA PERGURUAN TINGGI DENGAN MENGGUNAKAN FRAMEWORK COBIT 5 STUDI KASUS : STMIK DHARMA WACANA METRO","year":2017,"lang":"id","type":"article","venue":"International Research on Big-Data and Computer Technology I-Robot","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Computer science; Operating system; Business administration; Business","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":[0.004197788,0.000528111,0.0005440343,0.001473705,0.002695342,0.01421528,0.001237083,0.001520607,0.03328592],"category_scores_gemma":[0.005497955,0.0005003507,0.0005076341,0.002502963,0.001931164,0.007429807,0.005480099,0.002407523,0.008995731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006161299,"about_ca_system_score_gemma":0.01201704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192672,"about_ca_topic_score_gemma":0.03332552,"domain_scores_codex":[0.9952965,0.001376695,0.0002455871,0.00058241,0.00184813,0.0006505267],"domain_scores_gemma":[0.9960963,0.001117498,0.0001896915,0.0007564495,0.001130303,0.0007097492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006054828,0.0008379787,0.02088397,0.00258865,0.0001301812,0.001003202,0.03914232,0.004314983,0.02481651,0.3734966,0.07398343,0.4581967],"study_design_scores_gemma":[0.00004418059,0.0001600165,0.008162658,0.0006876229,0.00006900071,0.0004000734,0.02349682,0.002663116,0.005101337,0.01804039,0.9411066,0.0000683121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1445234,0.006535053,0.06398944,0.0152536,0.0005335039,0.001202058,0.001779768,0.002097467,0.7640857],"genre_scores_gemma":[0.6431699,0.006504002,0.05543667,0.002391451,0.0001163756,0.001091484,0.00274444,0.0008202143,0.2877255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03328592,"threshold_uncertainty_score":0.1113525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849560985055445,"score_gpt":0.4314639449263127,"score_spread":0.2465078464207683,"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."}}