{"id":"W2285376031","doi":"10.2139/ssrn.2660265","title":"Systemic Corruption in an Advanced Welfare State: Lessons from the Quubec Charbonneau Inquiry","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Language change; State (computer science); Welfare state; Political science; Welfare; Sociology; Law and economics; Law; Politics; Philosophy; Computer science; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005729405,0.0002061051,0.0005040661,0.001097183,0.00914081,0.008986129,0.0007259982,0.006882484,0.003095713],"category_scores_gemma":[0.01190635,0.000157649,0.0004158522,0.00126624,0.01774223,0.00439849,0.004545108,0.007170782,0.0001413913],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008945434,"about_ca_system_score_gemma":0.0124262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0391175,"about_ca_topic_score_gemma":0.05821573,"domain_scores_codex":[0.9965498,0.001558737,0.00005495665,0.0003124929,0.0004628059,0.001061115],"domain_scores_gemma":[0.9932781,0.004352258,0.0004873216,0.0004069836,0.0008245419,0.0006506684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001590383,0.0000336074,0.0013382,0.00001750473,0.000006216868,0.0001360943,0.003710156,0.0005891938,0.0000386966,0.9858746,0.003798134,0.004441602],"study_design_scores_gemma":[0.00005387572,0.00004199945,0.009201434,0.0002660009,0.0000239203,0.00008343792,0.01108726,0.002494464,0.0002963295,0.9224901,0.05392643,0.00003477072],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3615772,0.002679607,0.007705727,0.2652869,0.0003547427,0.00007765815,0.00006040477,0.00002476126,0.362233],"genre_scores_gemma":[0.9854375,0.000401126,0.0003898876,0.006014808,0.0001316383,0.00002927518,0.00000630231,0.000008556636,0.007580803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9910546,"threshold_uncertainty_score":0.07777959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768547350545571,"score_gpt":0.3529113877015743,"score_spread":0.3052259141961186,"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."}}