{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["sts","open_science","research_integrity"],"category_scores_codex":[0.003993607,0.0008318468,0.000880405,0.002915875,0.003940738,0.002488072,0.01903515,0.001512573,0.0001167527],"category_scores_gemma":[0.004100434,0.0008218499,0.0001490776,0.001264348,0.003417306,0.001105162,0.01572082,0.007518591,0.0003560333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058745,"about_ca_system_score_gemma":0.0008567007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002359462,"about_ca_topic_score_gemma":0.0003178812,"domain_scores_codex":[0.9916731,0.0006136961,0.001104394,0.00259876,0.002058446,0.00195162],"domain_scores_gemma":[0.9896358,0.001443571,0.0007865512,0.006178379,0.001481673,0.000474009],"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":[0.0001200126,0.0008542248,0.03225704,0.00008022035,0.001012709,0.0005403542,0.001745256,0.0000497479,0.0003748413,0.1609329,0.01645471,0.785578],"study_design_scores_gemma":[0.005854783,0.004564857,0.09805799,0.002262647,0.0001562715,0.001047744,0.01530495,0.197862,0.005071571,0.02186482,0.6445976,0.003354833],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225613,0.00435172,0.2020497,0.2428202,0.01792028,0.002299736,0.0002652933,0.002277554,0.005454113],"genre_scores_gemma":[0.9665111,0.001679922,0.0274178,0.001169951,0.001245692,0.0001297444,0.0001225052,0.00007542221,0.00164791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7822232,"threshold_uncertainty_score":0.9997837,"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."}}