{"id":"W7132933255","doi":"","title":"Choosing between Prices and Sanctions to Combat Corruption: Canada’s Foreign Bribery Laws","year":2017,"lang":"en","type":"article","venue":"TSpace","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Administrative Sciences","funders":"","keywords":"Sanctions; Permission; Legislation; Economic sanctions; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003109067,0.0002160664,0.0003621738,0.001093448,0.008266713,0.007363675,0.0008697436,0.002412998,0.006737423],"category_scores_gemma":[0.01152926,0.0002149347,0.0002669353,0.00135205,0.004194545,0.001122675,0.00137744,0.003679065,0.0002678546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05485469,"about_ca_system_score_gemma":0.106437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657105,"about_ca_topic_score_gemma":0.9893812,"domain_scores_codex":[0.995645,0.0005093107,0.00007001295,0.0001866227,0.001424411,0.002164612],"domain_scores_gemma":[0.9946358,0.001612155,0.0004045213,0.0001682949,0.002003207,0.001175984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001955356,0.000108787,0.02623887,0.0001505453,0.0000746919,0.0005369623,0.00677801,0.00412259,0.0006686639,0.7027552,0.1963285,0.06204161],"study_design_scores_gemma":[0.0003342637,0.0002222007,0.181111,0.001270002,0.0003347803,0.000266025,0.0189934,0.01130651,0.002667845,0.08699867,0.6961889,0.0003063986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2001833,0.005279924,0.001732768,0.1069671,0.0003649786,0.0001129336,0.000676246,0.00007381674,0.6846089],"genre_scores_gemma":[0.9586518,0.001344833,0.0004989764,0.005862873,0.00005654826,0.00001622991,0.00006635505,0.00002314854,0.03347916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05485469,"threshold_uncertainty_score":0.3980005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06992773357977916,"score_gpt":0.3740618300809147,"score_spread":0.3041340965011355,"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."}}