{"id":"W7105882677","doi":"10.2139/ssrn.5761522","title":"How Much New Information is There in the EPA's Mandatory GHG Reporting Program?","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Earnings; Equity (law); Greenhouse gas; Capital expenditure; Value (mathematics); Cost–benefit analysis; Capital (architecture)","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":[0.0308406,0.0003107956,0.0006628844,0.00309256,0.002399512,0.01201274,0.002045864,0.004616596,0.01436227],"category_scores_gemma":[0.1070613,0.0004553719,0.0006413192,0.004301824,0.003959757,0.01588062,0.002628837,0.00460248,0.002401763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006084427,"about_ca_system_score_gemma":0.0137578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254634,"about_ca_topic_score_gemma":0.04498661,"domain_scores_codex":[0.9792579,0.005349261,0.001080728,0.001139986,0.01099638,0.002175792],"domain_scores_gemma":[0.8616318,0.07182715,0.01824302,0.005706245,0.03389489,0.008696973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007536307,0.0007017251,0.1613476,0.001611974,0.0004353007,0.000744808,0.00383794,0.001435254,0.00432375,0.1054308,0.2552136,0.4641637],"study_design_scores_gemma":[0.000103007,0.0004571439,0.1991481,0.002352364,0.0003773806,0.0005085239,0.01951694,0.002749238,0.01075067,0.06668379,0.6970152,0.0003377612],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.116905,0.006376278,0.006895397,0.6769243,0.004786548,0.0001214302,0.002961779,0.0003418005,0.1846875],"genre_scores_gemma":[0.8633976,0.007726797,0.005184672,0.09038636,0.00399999,0.0001005494,0.002038902,0.0002057408,0.0269593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0308406,"threshold_uncertainty_score":0.1631027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342672723547138,"score_gpt":0.2842103475120019,"score_spread":0.2607836202765305,"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."}}