{"id":"W2592179290","doi":"10.28986/jtaken.v2i2.65","title":"EVALUASI ATAS IMPLEMENTASI APLIKASI SISTEM AKUNTANSI INSTANSI BASIS AKRUAL (SAIBA) PADA MITRA KERJA KPPN GORONTALO DAN MARISA","year":2017,"lang":"en","type":"article","venue":"Jurnal Tata Kelola dan Akuntabilitas Keuangan Negara","topic":"Information Retrieval and Data Mining","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Business administration; Accrual; Computer science; Business; Accounting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002885927,0.001074983,0.001140837,0.0004212261,0.003021826,0.003326869,0.006269523,0.000359126,0.0001375835],"category_scores_gemma":[0.0008790611,0.001008781,0.0006152772,0.0006286689,0.0006137209,0.008920945,0.002860816,0.001142106,0.0002698696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008179871,"about_ca_system_score_gemma":0.0007160913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006763902,"about_ca_topic_score_gemma":0.0008136412,"domain_scores_codex":[0.9916484,0.0004520395,0.002200103,0.001700021,0.002214217,0.00178523],"domain_scores_gemma":[0.991304,0.0005320167,0.001465254,0.005198954,0.0005422182,0.0009574976],"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":[0.0009520657,0.001378176,0.2013069,0.001229766,0.001423656,0.001090572,0.02293673,0.0001221551,0.006019941,0.1450335,0.03399353,0.5845129],"study_design_scores_gemma":[0.007938314,0.001679465,0.3647856,0.0005457914,0.0004025879,0.001258582,0.01220789,0.01100694,0.01216746,0.001027173,0.5830472,0.003932962],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370937,0.0007252035,0.02373442,0.00340743,0.003489904,0.002174988,0.001142944,0.000819091,0.02741234],"genre_scores_gemma":[0.9679959,0.0001186332,0.0282415,0.001755806,0.0005791772,0.0001008198,0.000648079,0.0001136601,0.0004463842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.58058,"threshold_uncertainty_score":0.9992363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056049416863997,"score_gpt":0.2923891830954049,"score_spread":0.2618286889267649,"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."}}