{"id":"W4311032289","doi":"10.18331/brj2022.9.4.5","title":"Sustainability assessment of palm oil-based refinery systems for food, fuel, and chemicals","year":2022,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Oil Palm Production and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Development Agency","keywords":"Biorefinery; Life-cycle assessment; Biodiesel; Sustainability; Environmental science; Pulp and paper industry; Biodiesel production; Refinery; Biofuel; Bioenergy; Waste management; Succinic acid; Value added; Production (economics); Engineering; Environmental engineering; Chemistry; Biology","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":[0.01115254,0.0001129711,0.0002245579,0.0001397308,0.0007515221,0.00008699737,0.000341626,0.000051735,0.0006962605],"category_scores_gemma":[0.001641978,0.00009808894,0.00009839806,0.0004826725,0.0006114583,0.0001311331,0.0004218312,0.0007170071,0.000001017076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00181044,"about_ca_system_score_gemma":0.0004996848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001089028,"about_ca_topic_score_gemma":0.000008121585,"domain_scores_codex":[0.9963441,0.0009766911,0.0004385109,0.0003955313,0.001283245,0.0005619404],"domain_scores_gemma":[0.998473,0.0004032967,0.0001459147,0.0003621407,0.0003447506,0.0002709036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001533764,0.003282527,0.8261616,0.005432017,0.0001316097,0.00006299849,0.000958564,0.009826744,0.02875855,0.002951503,0.03595117,0.08494902],"study_design_scores_gemma":[0.004347168,0.005077402,0.2078503,0.0000397892,0.00003397729,0.0002318517,0.01854123,0.01300098,0.001612095,0.03791994,0.7106674,0.0006778851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907022,0.0008946972,0.0003371852,0.005646845,0.000211168,0.0005203487,0.00006345091,0.00001684012,0.001607244],"genre_scores_gemma":[0.9980392,0.00009368085,0.000577573,0.00003069705,0.00008456572,0.0001927332,0.000004547307,0.0000125437,0.0009643926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6747162,"threshold_uncertainty_score":0.7623565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05094689600362123,"score_gpt":0.3802398017534256,"score_spread":0.3292929057498044,"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."}}