{"id":"W2906328418","doi":"","title":"Compliance with the Corporate Governance Code: are there any improvements","year":2018,"lang":"en","type":"article","venue":"Published Papers","topic":"Corporate Insolvency and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Accounting; Code (set theory); Compliance (psychology); Business; Code of practice; Code of conduct; Political science; Law; Finance; Engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07266013,0.0004764657,0.0007965898,0.002794032,0.002409486,0.0103553,0.002987181,0.007030279,0.02335026],"category_scores_gemma":[0.2795729,0.0003763605,0.0009126723,0.005308153,0.004786616,0.01570462,0.003734114,0.006841431,0.006591773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006326397,"about_ca_system_score_gemma":0.03513117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274572,"about_ca_topic_score_gemma":0.01479484,"domain_scores_codex":[0.9172359,0.02895777,0.007348796,0.004398662,0.03425326,0.007805672],"domain_scores_gemma":[0.7293647,0.05878426,0.036407,0.03055384,0.1212571,0.02363309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001986523,0.0004788701,0.04113129,0.001889506,0.00009009647,0.000328876,0.002570987,0.0006178864,0.0006618297,0.135133,0.4456579,0.3712411],"study_design_scores_gemma":[0.0001471452,0.0002304198,0.07838976,0.008866018,0.00006595872,0.0003888944,0.006556732,0.001099199,0.0007835038,0.05354316,0.8497959,0.000133254],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02583417,0.01177141,0.008960452,0.8167371,0.01445476,0.0004958905,0.001898429,0.0007343278,0.1191136],"genre_scores_gemma":[0.5368335,0.01797877,0.03440196,0.3386941,0.0102679,0.001330657,0.008153941,0.001323837,0.05101535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07266013,"threshold_uncertainty_score":0.384268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03085333716605005,"score_gpt":0.2102350933142792,"score_spread":0.1793817561482291,"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."}}