{"id":"W3082209690","doi":"10.18331/brj2020.7.3.2","title":"Production of sorghum pellets for electricity generation in Indonesia: A life cycle assessment","year":2020,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lembaga Ilmu Pengetahuan Indonesia; Science and Technology Research Partnership for Sustainable Development; Stockholms Universitet; Japan International Cooperation Agency","keywords":"Pellets; Life-cycle assessment; Environmental science; Greenhouse gas; Electricity generation; Coal; Biomass (ecology); Bioenergy; Tonne; Fossil fuel; Electricity; Combustion; Waste management; Environmental engineering; Biofuel; Production (economics); Engineering; Agronomy; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001366937,0.00008995293,0.0001480007,0.0002978518,0.0001300864,0.00005208168,0.0001365151,0.00009890083,0.00004850564],"category_scores_gemma":[0.000312916,0.0000818058,0.00005889617,0.0005927911,0.00004545513,0.0001955288,0.00002642839,0.0006290001,0.000008065859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000160453,"about_ca_system_score_gemma":0.000178322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000444698,"about_ca_topic_score_gemma":0.000002244631,"domain_scores_codex":[0.9985901,0.0001400021,0.0003170028,0.0001876698,0.0004548406,0.0003104168],"domain_scores_gemma":[0.9993398,0.0000262904,0.00005094534,0.00009392457,0.0003075088,0.0001815978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002249711,0.0002135058,0.003738815,0.0008065482,0.00005892754,0.000007440934,0.0005622313,0.006222441,0.93853,0.0001098425,0.03029953,0.0192258],"study_design_scores_gemma":[0.003741373,0.001502794,0.02133546,0.00008190119,0.00002420239,0.00007798243,0.001172768,0.490546,0.4480388,0.001260495,0.03167745,0.0005406674],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857985,0.0007107648,0.004420572,0.007733289,0.0005213777,0.0005700268,0.000003823412,0.00004087215,0.0002007195],"genre_scores_gemma":[0.9966388,0.000787852,0.001168645,0.00004400823,0.001284579,0.00001656818,0.00000757046,0.0000161749,0.00003579156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4904911,"threshold_uncertainty_score":0.3335944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08855554555574692,"score_gpt":0.3390439891329205,"score_spread":0.2504884435771736,"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."}}