{"id":"W4381416272","doi":"10.2139/ssrn.4473822","title":"Sustainable Transformation of Business and Finance: A Democratic Challenge in An Age of Climate Change and Artificial Intelligence","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Democracy; Climate change; Transformation (genetics); Political science; Business; Economics; Ecology; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006102124,0.00009550896,0.0002271548,0.000391024,0.0003283215,0.00004217515,0.0001350079,0.00007997228,0.000002451543],"category_scores_gemma":[0.0002099034,0.00009451619,0.00002227953,0.001213888,0.0002153727,0.0007901784,0.00002399157,0.0003754444,3.522615e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718726,"about_ca_system_score_gemma":0.000797599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002301596,"about_ca_topic_score_gemma":0.03376089,"domain_scores_codex":[0.9977006,0.0002589386,0.0005199491,0.0001389023,0.0002650014,0.001116592],"domain_scores_gemma":[0.9991859,0.00005720717,0.0002229056,0.00008474621,0.0004233496,0.00002595791],"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":[0.00004004625,0.00005645723,0.002579997,0.0002784701,0.000006136139,0.000004992822,0.06199331,0.00006887199,0.00003370282,0.8983447,2.950057e-7,0.03659305],"study_design_scores_gemma":[0.0001521908,0.0002448029,0.01370515,0.00006439844,0.00000917946,0.000007991309,0.2081833,0.001091224,0.0000196142,0.7763725,0.00004012128,0.0001095941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963312,0.0006089872,0.0009146917,0.001184134,0.00005612497,0.0004918688,0.000001579238,0.00001623175,0.0003951757],"genre_scores_gemma":[0.9903594,0.009432746,0.00001168208,0.000004941932,0.0001055463,0.00001940331,0.000004908169,0.000008872433,0.00005250909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.14619,"threshold_uncertainty_score":0.9838704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03522684844006666,"score_gpt":0.3224255469981073,"score_spread":0.2871986985580406,"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."}}