{"id":"W4398188449","doi":"10.2139/ssrn.4836384","title":"Herding in Corporate Climate Risk Disclosure","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Risk Management in Financial Firms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Herding; Climate risk; Business; Climate change; Financial economics; Geography; Economics; Ecology","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":[0.002516082,0.000083001,0.0003846949,0.0005240251,0.0006132895,0.002124208,0.0003688659,0.002175046,0.006422994],"category_scores_gemma":[0.0182118,0.0002406197,0.0002453077,0.0005418858,0.001087046,0.002121377,0.001018577,0.001435184,0.0003008342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007622783,"about_ca_system_score_gemma":0.0003779428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002764431,"about_ca_topic_score_gemma":0.003387017,"domain_scores_codex":[0.9994273,0.000212405,0.00003540188,0.00009695985,0.00007289469,0.0001550509],"domain_scores_gemma":[0.973233,0.01851767,0.00577269,0.0009919323,0.0006759754,0.0008087239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001390685,0.0009174813,0.4940818,0.0003375573,0.0003823038,0.001693245,0.006855035,0.03621734,0.006137496,0.3066246,0.01357466,0.1317877],"study_design_scores_gemma":[0.0001151662,0.0006471951,0.4639432,0.0001962282,0.0003290046,0.0009777481,0.007934237,0.1337248,0.001831762,0.3826962,0.007476315,0.0001282652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751351,0.0009086029,0.003389719,0.002971159,0.00004351322,0.00001101344,0.00005571794,0.00003708218,0.01744822],"genre_scores_gemma":[0.9985701,0.0001062852,0.0001239386,0.00008766464,0.00002350564,0.000001689231,0.000008495625,0.000002150517,0.001076084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006422994,"threshold_uncertainty_score":0.02148706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099270226768192,"score_gpt":0.2154957009456903,"score_spread":0.2045029986780084,"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."}}