{"id":"W2309879548","doi":"","title":"Corporate Criminal Liability: Myriad Complexity in the Scope of Senior Officer","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Officer; Vicarious liability; Corporation; Business; Context (archaeology); Conviction; Appeal; Liability; Corporate liability; Audit; Collusion; Corporate law; Law; Law and economics; Political science; Accounting; Economics; Corporate governance; Finance; Tort","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001311919,0.0001251738,0.0001967372,0.0001161493,0.0001910088,0.0001551048,0.0003215901,0.00002860137,0.0002112947],"category_scores_gemma":[0.00005782517,0.00008222475,0.0000839571,0.0003605122,0.0001403246,0.0005783349,0.00006204665,0.0005772364,0.000148624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009926763,"about_ca_system_score_gemma":0.0001749014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007899838,"about_ca_topic_score_gemma":0.002147981,"domain_scores_codex":[0.9983916,0.00003898623,0.0003426024,0.0001345787,0.0002718833,0.0008203838],"domain_scores_gemma":[0.9991583,0.00003174724,0.000396425,0.0001677569,0.0002391539,0.00000664787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001145603,0.0002911767,0.05493977,0.0001164164,0.0001007454,0.000002553434,0.000286746,0.0001371738,0.0004525706,0.901332,0.002968921,0.03925739],"study_design_scores_gemma":[0.0007210344,0.00004517964,0.2832829,0.00004111999,0.00004660659,0.00002722847,0.005888183,0.0008541066,0.00001476478,0.7057865,0.003118695,0.0001737154],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805315,0.0007233982,0.0005210555,0.004253821,0.0001714158,0.000284726,3.892736e-7,0.00001743654,0.01349631],"genre_scores_gemma":[0.9983977,0.0001738792,0.0000474092,0.0005543119,0.0004728593,0.00001078148,0.000002319601,0.000009197316,0.0003315601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2283431,"threshold_uncertainty_score":0.3353028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743270937264584,"score_gpt":0.2577474769942443,"score_spread":0.2003147676215985,"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."}}