{"id":"W2938283275","doi":"10.26794/2408-9303-2019-6-2-75-86","title":"Electronic  Support  of  State (Municipal)  Procurement  in  Canada","year":2019,"lang":"en","type":"article","venue":"Accounting Analysis Auditing","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Procurement; Openness to experience; Transparency (behavior); Business; E-procurement; Publication; State (computer science); Accounting; Industrial organization; Marketing; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001480567,0.0002540306,0.0006093834,0.00105262,0.00008605214,0.0001597327,0.0005234413,0.00004165058,0.001030808],"category_scores_gemma":[0.0002027854,0.000255888,0.0001792834,0.003366556,0.00001775353,0.001057991,0.000234654,0.0002694971,0.0000992504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004841862,"about_ca_system_score_gemma":0.0007040791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8727228,"about_ca_topic_score_gemma":0.9276786,"domain_scores_codex":[0.997109,0.00001670576,0.0008675176,0.0004205796,0.0006959757,0.0008902423],"domain_scores_gemma":[0.9981713,0.0000683414,0.001088509,0.0004092719,0.0002467385,0.00001579026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001227677,0.00003786782,0.990548,0.0001854431,0.0004256718,0.000003720394,0.00009739857,0.003283309,0.0005273706,0.001917331,0.001086597,0.00187501],"study_design_scores_gemma":[0.003619856,0.00005206603,0.5636287,0.0003261025,0.002524666,0.000002648289,0.003275711,0.1834445,0.001779332,0.004495057,0.2342269,0.002624445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797764,0.00006378101,0.00003064595,0.0004873407,0.0001111653,0.0002344123,0.000004046005,0.00004307157,0.01924907],"genre_scores_gemma":[0.99791,0.00000938942,0.00002641316,0.00132625,0.0002413548,0.00001946015,0.00008441703,0.00002771903,0.0003550529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4269193,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006176295167220473,"score_gpt":0.1998470936252783,"score_spread":0.1936707984580578,"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."}}