{"id":"W7096482361","doi":"","title":"INVESTIGATIONS OF COST-EFFECTIVE BIODIESEL PRODUCTION FROM","year":2013,"lang":"en","type":"article","venue":"","topic":"Process Optimization and Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Inclusion (mineral); Biodiesel production; Context (archaeology); Biodiesel","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001689482,0.00004432137,0.00005065723,0.00004337801,0.00001617207,0.00001183196,0.00002867737,0.00002715919,0.0003514071],"category_scores_gemma":[0.00007257306,0.00003801272,0.00001123941,0.0001216819,0.00002222861,0.0002793855,0.000003407668,0.00003470779,0.0001041246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001756531,"about_ca_system_score_gemma":0.000004906428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001169955,"about_ca_topic_score_gemma":0.00001863242,"domain_scores_codex":[0.9997579,0.00000614456,0.00009271566,0.00005749948,0.00004271289,0.00004297239],"domain_scores_gemma":[0.9997727,0.00001370775,0.0000144234,0.0000675538,0.0001093571,0.00002227386],"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":[0.000004623537,0.00009131859,0.00549932,0.0001042659,0.0001403009,7.139936e-8,0.002602779,0.3518173,0.4168831,0.006841677,0.1031972,0.112818],"study_design_scores_gemma":[0.0001028627,0.00001336141,0.00663116,0.00001511416,0.000007195088,2.077661e-7,0.000186312,0.3482358,0.6403255,0.00241092,0.001977989,0.00009360944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4584436,0.000257206,0.4621716,0.001242289,0.0009522966,0.003233764,0.00003473891,0.001076314,0.0725882],"genre_scores_gemma":[0.9898283,0.00002798522,0.009386725,0.00004035169,0.00003286414,0.0003299994,0.00005547176,0.000006676458,0.0002916142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5313848,"threshold_uncertainty_score":0.3847662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127961482426772,"score_gpt":0.2070149384108461,"score_spread":0.1957353235865784,"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."}}