{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01454629,0.0003244916,0.000737118,0.001016281,0.006236452,0.01420682,0.001142911,0.01016618,0.005101536],"category_scores_gemma":[0.01758089,0.0002626727,0.000449047,0.001284847,0.02147824,0.01280483,0.006446474,0.01336994,0.00090644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005598424,"about_ca_system_score_gemma":0.01553637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041342,"about_ca_topic_score_gemma":0.006010318,"domain_scores_codex":[0.9927803,0.003520317,0.0001898981,0.0007046229,0.001764252,0.001040677],"domain_scores_gemma":[0.9875515,0.007049296,0.001088543,0.001100382,0.001346492,0.001863822],"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":[0.00001620132,0.00003667835,0.0003093725,0.00002535411,0.00000879546,0.00004762696,0.001546701,0.0004735898,0.0001463009,0.967518,0.02178889,0.008082481],"study_design_scores_gemma":[0.00001313759,0.00001314659,0.0005360148,0.00004862121,0.000003320904,0.00003922003,0.001582194,0.0008405905,0.0001275038,0.8664612,0.1303176,0.00001751267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02149027,0.004780946,0.01238667,0.8473256,0.002263851,0.00002777514,0.00009526844,0.00007618227,0.1115534],"genre_scores_gemma":[0.906455,0.004354578,0.005265807,0.06036963,0.004115629,0.0000855453,0.00006496391,0.0001052333,0.01918362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01454629,"threshold_uncertainty_score":0.07692903,"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."}}