{"id":"W4392823777","doi":"10.22495/rgcv14i1p3","title":"How do corporate governance, artificial intelligence, and innovation interact? Findings from different industries","year":2024,"lang":"en","type":"article","venue":"Risk Governance and Control Financial Markets & Institutions","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Mitacs","keywords":"Corporate governance; Business; Diversity (politics); Accounting; Field (mathematics); Marketing; Industrial organization; Finance; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00598884,0.0002908838,0.000504871,0.003403185,0.001085393,0.005836932,0.0006738745,0.001213806,0.003073084],"category_scores_gemma":[0.01785941,0.0002670412,0.0008077032,0.003326642,0.003391259,0.00610886,0.00305327,0.001269737,0.0002356495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001459024,"about_ca_system_score_gemma":0.001576062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006348498,"about_ca_topic_score_gemma":0.006402392,"domain_scores_codex":[0.9954041,0.00243008,0.000185721,0.0006505164,0.0007552091,0.000574459],"domain_scores_gemma":[0.9590825,0.03063123,0.005990604,0.001209453,0.001511498,0.001574793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007366347,0.000182123,0.9115088,0.0002579741,0.000447457,0.0001854423,0.01563336,0.0004132602,0.0002063336,0.01914316,0.0006820569,0.05126638],"study_design_scores_gemma":[0.00001632101,0.00008680047,0.9467546,0.0004379965,0.0002347915,0.0001142758,0.02930701,0.0009488998,0.0001578629,0.0155092,0.006405948,0.00002637233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9616039,0.007068429,0.001602844,0.006240086,0.00004690667,0.00003268972,0.0001148339,0.00001334272,0.02327705],"genre_scores_gemma":[0.9974329,0.001354238,0.0003010748,0.000506111,0.00003397979,0.00001410145,0.00005352525,0.000005372237,0.0002987424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006348498,"threshold_uncertainty_score":0.03167236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868619166981377,"score_gpt":0.2199155336544399,"score_spread":0.1912293419846262,"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."}}