{"id":"W2913647514","doi":"","title":"Reported Corruption vs. Experience of Corruption in Public Procurement Contracts","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Public Procurement and Policy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Procurement; Language change; Business; Public sector; Finance; Economics; Marketing; Economy","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"],"consensus_categories":[],"category_scores_codex":[0.006541564,0.0003908376,0.0005025186,0.000754039,0.0002083535,0.0007543266,0.001172946,0.0003457826,0.0003864912],"category_scores_gemma":[0.00371278,0.0004192259,0.0001699984,0.000914614,0.0002835642,0.001055931,0.001365344,0.0005142643,0.00006501752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000184719,"about_ca_system_score_gemma":0.0003083368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925844,"about_ca_topic_score_gemma":0.002987342,"domain_scores_codex":[0.9962018,0.000583167,0.001125378,0.0008122628,0.0007691553,0.0005082981],"domain_scores_gemma":[0.9921951,0.0002048005,0.001967479,0.001535439,0.004041631,0.00005555503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002936333,0.005436689,0.4158311,0.002849967,0.0003318061,0.0000281981,0.01673844,0.00006864669,0.01535486,0.4446289,0.01320675,0.08523102],"study_design_scores_gemma":[0.006240574,0.000003764926,0.4660188,0.01155171,0.0003422849,0.00002184693,0.0009045784,0.08048931,0.03038129,0.03721953,0.3633922,0.003434093],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8676914,0.0003284806,0.01291111,0.01111549,0.0008220754,0.001426785,0.00001858613,0.0003409353,0.1053452],"genre_scores_gemma":[0.9952703,0.0001404735,0.001695209,0.000368064,0.0001967396,0.0002058513,0.0007607892,0.00004400311,0.00131858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074093,"threshold_uncertainty_score":0.999826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04301307447769844,"score_gpt":0.2648958626349413,"score_spread":0.2218827881572429,"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."}}