{"id":"W3215865719","doi":"10.2139/ssrn.3941277","title":"Civil Enforcement Action against Corporate Corruption: A Legislative Lacunae in India","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corruption and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Legislature; Enforcement; Language change; Action (physics); Cause of action; Business; Political science; Criminology; Law; Sociology","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":[0.009647798,0.0003364347,0.0005943184,0.002693779,0.01179934,0.01649331,0.003092234,0.008483643,0.006336873],"category_scores_gemma":[0.02027419,0.0009435531,0.0007950955,0.003906604,0.01066289,0.003551929,0.005232424,0.01231028,0.0005896448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01595461,"about_ca_system_score_gemma":0.04070435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09968769,"about_ca_topic_score_gemma":0.174705,"domain_scores_codex":[0.9884227,0.002303135,0.0007648554,0.000808397,0.002309441,0.005391516],"domain_scores_gemma":[0.9625683,0.02421253,0.004517905,0.001668028,0.004440523,0.002592689],"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":[0.0004034856,0.0005376762,0.03907004,0.001513249,0.000175696,0.00226199,0.0398861,0.001675161,0.004683751,0.7736264,0.06203556,0.07413094],"study_design_scores_gemma":[0.0002493476,0.0006386207,0.3789755,0.00273279,0.0007503354,0.001431036,0.04717923,0.003180341,0.009732022,0.06186623,0.4925823,0.0006823319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5225926,0.0121219,0.002213425,0.241126,0.001427408,0.0001767788,0.0004458284,0.0002331642,0.2196628],"genre_scores_gemma":[0.955158,0.001748392,0.0005390734,0.0232698,0.0004437779,0.00007350583,0.0000873583,0.00004943927,0.01863074],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09968769,"threshold_uncertainty_score":0.1982149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05898340434320093,"score_gpt":0.2960271459222101,"score_spread":0.2370437415790091,"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."}}