{"id":"W4321504428","doi":"10.20517/cf.2022.21","title":"Greenhouse gas emissions and offset potential from sugarcane straw for bioenergy production in Brazil","year":2023,"lang":"en","type":"article","venue":"Carbon Footprints","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universidade Estadual Paulista","keywords":"Straw; Greenhouse gas; Environmental science; Bioenergy; Diesel fuel; Carbon footprint; Biofuel; Agronomy; Pulp and paper industry; Environmental engineering; Waste management; Ecology; Engineering","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":[0.0001075706,0.0001203458,0.0001211019,0.0001691457,0.00004306477,0.00001803417,0.00006886908,0.0001114239,0.00001780978],"category_scores_gemma":[0.00003186335,0.0001216605,0.0000337564,0.0002380398,0.00003892677,0.00004433165,0.0000415667,0.0001127778,0.000009089038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004042069,"about_ca_system_score_gemma":0.00001138368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163872,"about_ca_topic_score_gemma":0.00007064203,"domain_scores_codex":[0.9992212,0.00001557372,0.0001596874,0.0002992548,0.00009793999,0.0002063182],"domain_scores_gemma":[0.9996755,0.00001118207,0.00002003861,0.0001898076,0.00002205201,0.00008143093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001317548,0.00007497003,0.005166815,0.0002879653,0.00006428612,0.00001881951,0.0003688624,0.002909007,0.917468,0.00005433188,0.005770524,0.0676847],"study_design_scores_gemma":[0.003072101,0.0001805646,0.08427911,0.0001795063,0.00006928616,0.00002703643,0.0007350221,0.07526713,0.7770755,0.002581533,0.05553158,0.001001658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969181,0.0001039373,0.00002292548,0.0008932817,0.001269008,0.0002151861,0.00001854744,0.0003605166,0.0001984271],"genre_scores_gemma":[0.9987864,0.0003291825,0.00009910027,0.00001379166,0.0002912647,0.00002196911,0.00007038454,0.0000273713,0.0003605431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403925,"threshold_uncertainty_score":0.4961173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339557442743111,"score_gpt":0.2253035410343258,"score_spread":0.2119079666068947,"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."}}