{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004128426,0.0004019164,0.0002626772,0.0006217909,0.0003787852,0.000739549,0.0002746856,0.0002480945,0.0008984687],"category_scores_gemma":[0.0004317152,0.0001142417,0.0004049238,0.001183791,0.0003449092,0.0004830873,0.0003250107,0.0001533948,0.0001336608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954992,"about_ca_system_score_gemma":0.001131815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07904209,"about_ca_topic_score_gemma":0.1699743,"domain_scores_codex":[0.9997649,0.00002915347,0.000007587664,0.00004873073,0.0000931844,0.000056403],"domain_scores_gemma":[0.9998497,0.00003174369,0.00002350247,0.00001304201,0.00007444592,0.000007525263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004760563,0.0001399441,0.368404,0.001717872,0.0004384198,0.004051676,0.002418307,0.05733987,0.3692106,0.01296333,0.0009351768,0.1819047],"study_design_scores_gemma":[0.00005962683,0.0005808981,0.6923243,0.000479111,0.000659121,0.0009381498,0.01047749,0.05228654,0.186837,0.006542905,0.04869143,0.0001234955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876303,0.00130724,0.001761603,0.0001488635,0.000005695475,0.00002429797,0.000384438,0.00002240593,0.008715174],"genre_scores_gemma":[0.9985533,0.0005236347,0.000468992,0.000009768343,0.000001017687,0.000005573791,0.00008570647,0.000005068189,0.0003468745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07904209,"threshold_uncertainty_score":0.157164,"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."}}