{"id":"W4416407050","doi":"10.2139/ssrn.5710166","title":"Carbon Accounting for Contracting","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Incentive; Greenhouse gas; Supply chain; Accounting information system; Scope (computer science); Carbon fibers; Value (mathematics)","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":[0.003412097,0.0007818148,0.0008602418,0.002855832,0.002995224,0.006434675,0.0008145293,0.003766813,0.03433378],"category_scores_gemma":[0.01372905,0.000472278,0.0005054896,0.006398641,0.004278182,0.01039373,0.001938543,0.003423026,0.003586071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004784039,"about_ca_system_score_gemma":0.003453189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008165527,"about_ca_topic_score_gemma":0.005332238,"domain_scores_codex":[0.9970108,0.001214389,0.0001662538,0.0003415552,0.0009977849,0.0002691605],"domain_scores_gemma":[0.9956507,0.00178983,0.0002687779,0.001175797,0.0009593363,0.0001555102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003113912,0.000004555538,0.00004655763,0.00001856288,0.000002190215,0.000008365678,0.00004201196,0.0002157792,0.00001826694,0.9820403,0.008549258,0.009051021],"study_design_scores_gemma":[0.00000258818,0.000003155511,0.000142813,0.00005817352,0.000003259496,0.00002411086,0.00004535569,0.0009908507,0.00006217642,0.9504683,0.04819365,0.000005501021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01013609,0.02318566,0.05637904,0.0325074,0.002878143,0.00009594185,0.0006257707,0.0002637969,0.8739281],"genre_scores_gemma":[0.6231344,0.02372277,0.03590813,0.003664552,0.006048997,0.0002784308,0.0009204438,0.0005135983,0.3058087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03433378,"threshold_uncertainty_score":0.114858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008748483786211956,"score_gpt":0.2414479856702925,"score_spread":0.2326995018840806,"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."}}