{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007724365,0.000400154,0.00042419,0.001285001,0.0008349217,0.00346414,0.0005664034,0.0003358872,0.005020192],"category_scores_gemma":[0.01350827,0.0002123072,0.0004748403,0.001285913,0.0005651542,0.001804648,0.001360059,0.0007999124,0.001582677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001695462,"about_ca_system_score_gemma":0.003567799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008057402,"about_ca_topic_score_gemma":0.01121902,"domain_scores_codex":[0.9950725,0.001537304,0.0003356048,0.0002516581,0.002410757,0.000392085],"domain_scores_gemma":[0.9836795,0.006339378,0.001672181,0.001284762,0.005557369,0.001466836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006233111,0.002936105,0.6061409,0.0008889412,0.0001594983,0.0004274852,0.01498944,0.003244387,0.009015714,0.004487588,0.00516613,0.3519206],"study_design_scores_gemma":[0.00005507102,0.003815369,0.9064891,0.0004072285,0.0002584443,0.0002657799,0.03219444,0.01008272,0.01427515,0.001110723,0.03093323,0.0001126429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844298,0.0002283036,0.001704534,0.0002561489,0.00001558494,0.0001944984,0.0001610008,0.0001256179,0.01288439],"genre_scores_gemma":[0.9895849,0.000332122,0.004075516,0.00004333102,0.000008265549,0.000129062,0.0003408849,0.00002970374,0.005456246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008057402,"threshold_uncertainty_score":0.04085082,"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."}}