{"id":"W2944553535","doi":"10.32400/jiam.2.02.2018.21725","title":"IPTEKS DIGITALIZATION TREASURY PADA KANTOR WILAYAH DIREKTORAT JENDERAL PERBENDAHARAAN PROVINSI SULAWESI UTARA","year":2018,"lang":"en","type":"article","venue":"Jurnal Ipteks Akuntansi Bagi Masyarakat","topic":"Local Governance and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"Kementerian Keuangan Republik Indonesia","keywords":"Treasury; Human resources; Christian ministry; Business; State (computer science); Finance; Work (physics); Agency (philosophy); Engineering; Management; Political science; Economics; Computer science","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"],"consensus_categories":[],"category_scores_codex":[0.0007657115,0.0005392003,0.0005604879,0.0001724597,0.001389567,0.00080673,0.0006794659,0.0003374833,0.000553588],"category_scores_gemma":[0.0002871164,0.0004879845,0.0002484604,0.0008528531,0.0008124163,0.001999474,0.0001588974,0.0003809939,0.00049475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009115766,"about_ca_system_score_gemma":0.001184606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481447,"about_ca_topic_score_gemma":0.005608424,"domain_scores_codex":[0.9950842,0.0002821176,0.0007977593,0.0008389346,0.001778907,0.001218071],"domain_scores_gemma":[0.9977422,0.0001045524,0.0004207379,0.000496281,0.0006223982,0.0006138571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002598342,0.002333766,0.4187797,0.0002589948,0.0008129075,0.001151712,0.07493927,0.0001711592,0.00657036,0.1100572,0.1578002,0.2245264],"study_design_scores_gemma":[0.001318295,0.000415209,0.07552993,0.0001952624,0.00008537837,0.00004663717,0.00293246,0.0003860148,0.003224003,0.001343731,0.9132683,0.001254809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8588656,0.0005563109,0.0007443904,0.002679862,0.003003009,0.0008245577,0.00007613836,0.000443267,0.1328069],"genre_scores_gemma":[0.9858177,0.0003009627,0.0003354734,0.002078581,0.002823313,0.00004394901,0.00004304547,0.00007553091,0.008481462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.755468,"threshold_uncertainty_score":0.9999105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01853315575771441,"score_gpt":0.2861574704622095,"score_spread":0.267624314704495,"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."}}