{"id":"W3213034770","doi":"10.5267/j.ijdns.2021.9.010","title":"The role of e-purchasing in government procurement fraud reduction through expanding market access","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purchasing; Procurement; Business; Indonesian; Government (linguistics); Government procurement; Service (business); Marketing; Structural equation modeling; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010113,0.00003738084,0.00009764346,0.00003024446,0.0001097058,0.0001493612,0.0006395258,0.000008922626,0.00002414651],"category_scores_gemma":[0.0001367412,0.00003098704,0.00001597021,0.0002066803,0.0001127203,0.0009652097,0.0003736989,0.00006531328,5.191808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008796631,"about_ca_system_score_gemma":0.0000406664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001028098,"about_ca_topic_score_gemma":0.00001535213,"domain_scores_codex":[0.9992152,0.000008981479,0.0003738071,0.0001333295,0.0001755088,0.00009312946],"domain_scores_gemma":[0.9992106,0.00003883985,0.0005110829,0.0001152512,0.0001072613,0.00001697761],"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":[0.0002272424,0.0002210813,0.6959189,0.00001488398,0.0002003928,0.00001576288,0.001972037,0.001438456,0.001163105,0.1403514,0.005040074,0.1534368],"study_design_scores_gemma":[0.001238931,0.00009595908,0.3805226,0.0005142487,0.0000112587,0.0001730877,0.005683474,0.01031465,0.004143269,0.196711,0.4003135,0.000278036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8368152,0.05769989,0.02475285,0.01298827,0.00629209,0.0002577355,0.0002031292,0.000008047251,0.06098283],"genre_scores_gemma":[0.9938252,0.004401492,0.001496721,0.00004611747,0.0001822186,9.197211e-7,0.000001037443,0.000001630191,0.00004466667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3952734,"threshold_uncertainty_score":0.1440293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07020142651561055,"score_gpt":0.3251158766060607,"score_spread":0.2549144500904502,"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."}}