{"id":"W4393410366","doi":"10.2139/ssrn.4746446","title":"Carbon Footprint Measurement and Mitigation Using AI","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Carbon footprint; Footprint; Environmental science; Carbon fibers; Environmental resource management; Engineering; Greenhouse gas; Computer science; Geography; Geology; Archaeology; Oceanography; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158611,0.0001090848,0.00007944559,0.00003150483,0.0001295104,0.00008221868,0.00007587447,0.00004240702,0.00005020224],"category_scores_gemma":[0.00002399089,0.0000927219,0.00004685488,0.00009849801,0.00009984533,0.0001260099,0.00006973591,0.0007362097,0.000008253978],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005296549,"about_ca_system_score_gemma":0.000201572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003961041,"about_ca_topic_score_gemma":0.0006443957,"domain_scores_codex":[0.9982506,0.00005917008,0.0001531404,0.000190349,0.0003795884,0.0009671361],"domain_scores_gemma":[0.9997777,0.000007440744,0.00002728644,0.00009001423,0.000005108888,0.0000924142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008504562,0.000238605,0.3829062,0.00008537656,0.0002936897,0.00004282119,0.002267516,0.002940534,0.2226347,0.02147759,0.00003222963,0.3669957],"study_design_scores_gemma":[0.0009073721,0.0008606794,0.1689168,0.0001218158,0.0002108648,0.002013021,0.005152413,0.02780898,0.01082722,0.7782322,0.00407391,0.0008747891],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940531,0.001677621,0.002057961,0.0006803359,0.00009311337,0.0001078607,2.472385e-7,0.00002215168,0.001307572],"genre_scores_gemma":[0.999246,0.0003853079,0.00007128927,0.00003811578,0.0000609114,0.000001929034,2.647439e-7,0.00001290101,0.0001832791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7567546,"threshold_uncertainty_score":0.9985219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009010964058527896,"score_gpt":0.240341591407486,"score_spread":0.2313306273489581,"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."}}