{"id":"W6910446514","doi":"10.48321/d1c96c8d93","title":"Reducing Carbon Emission Through Corporate Sustainability","year":2025,"lang":"en","type":"other","venue":"California Digital Library","topic":"Sustainable Development and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Carbon footprint; Greenhouse gas; Carbon tax; Government (linguistics); Profit (economics); Process (computing); Production (economics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004806116,0.0003945211,0.0003318785,0.0000985164,0.00008022288,0.0002351153,0.0004020214,0.0003156403,0.008803311],"category_scores_gemma":[0.0001039081,0.0003456939,0.0001015112,0.0004924005,0.0002747609,0.0004195003,0.000843695,0.000223613,0.0007008087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393861,"about_ca_system_score_gemma":0.0003076896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002780227,"about_ca_topic_score_gemma":0.000001353074,"domain_scores_codex":[0.9983624,0.00003666225,0.0002923188,0.0005521118,0.0002603674,0.0004961605],"domain_scores_gemma":[0.9991186,0.00004520974,0.0002388971,0.0004512109,0.000006798078,0.0001392432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001814321,0.00004176425,0.04268164,0.0001804008,0.00001780363,0.00004666374,0.00006126823,0.000008671949,0.000002253213,0.00009526506,0.9520605,0.004785615],"study_design_scores_gemma":[0.0001208986,0.00001324543,0.0002453797,0.00013726,0.00001224394,0.000002257314,0.0001578369,0.00002605504,0.0002308471,0.01396319,0.9846813,0.0004095013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003275029,0.000296212,0.0000222808,0.0006258879,0.0001790992,0.0004527535,0.001018023,0.0005826312,0.9935481],"genre_scores_gemma":[0.007087486,0.00006351167,0.000179094,0.0003813355,0.0001598133,0.00002750053,0.0009134133,0.0002543652,0.9909335],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04243626,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007529520144073363,"score_gpt":0.2007315313802166,"score_spread":0.1932020112361432,"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."}}