{"id":"W4404514032","doi":"10.2139/ssrn.5026856","title":"Director Networks and Misconduct","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Misconduct; Political science; Criminology; Psychology; Computer security; Computer science; Law","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":[0.005427806,0.0001946225,0.0004312336,0.004378583,0.002935855,0.005972798,0.0007500688,0.002791946,0.03833324],"category_scores_gemma":[0.05346906,0.0002492406,0.0002332657,0.005076416,0.003044962,0.005117656,0.00232436,0.002102792,0.00298087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812084,"about_ca_system_score_gemma":0.001682018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004960277,"about_ca_topic_score_gemma":0.007044024,"domain_scores_codex":[0.9949638,0.002406167,0.0002483701,0.0004929113,0.00100419,0.0008846744],"domain_scores_gemma":[0.9166242,0.05254411,0.01699287,0.002972255,0.006553529,0.004313114],"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":[0.0003325358,0.0003898205,0.2203226,0.0002058857,0.0001300695,0.001035905,0.005507711,0.002180408,0.000114923,0.5177756,0.1128643,0.1391402],"study_design_scores_gemma":[0.0000849718,0.0001639318,0.1360388,0.0007653854,0.000204459,0.001640363,0.01565023,0.004405067,0.000536874,0.6640105,0.1764292,0.00007020026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3224934,0.01499265,0.003650367,0.06556479,0.0005054646,0.00004639304,0.00127778,0.00009008272,0.591379],"genre_scores_gemma":[0.9484008,0.004639711,0.0002661652,0.001354173,0.0004211817,0.00002940346,0.000265153,0.00002392176,0.04459937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03833324,"threshold_uncertainty_score":0.1282374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277289192732582,"score_gpt":0.2140187644544161,"score_spread":0.2012458725270903,"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."}}