{"id":"W2298270597","doi":"10.1016/j.biombioe.2016.01.010","title":"An integrated supply chain: A large scale complementarity model for the biofuel markets","year":2016,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Supply chain; Complementarity (molecular biology); Oil refinery; Biofuel; Environmental economics; Biochemical engineering; Industrial organization; Computer science; Economics; Business; Engineering; Waste management; Marketing","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":[0.0001897705,0.0001422037,0.0001040299,0.00005297234,0.0001568171,0.00003882512,0.0001290465,0.00008392277,0.0000856024],"category_scores_gemma":[0.000003253417,0.00007138828,0.00004837152,0.0000888455,0.0000755942,0.000102602,0.00003205329,0.00003395485,0.000003251159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000304594,"about_ca_system_score_gemma":0.00001007249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007956377,"about_ca_topic_score_gemma":0.0002872522,"domain_scores_codex":[0.9992989,0.00001760576,0.0001347924,0.0002184072,0.00007697505,0.0002532963],"domain_scores_gemma":[0.9996289,0.00002129143,0.00002087208,0.0002030118,0.00004080922,0.0000851036],"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":[0.0003362791,0.0002524167,0.005874362,0.0002703167,0.0001760188,0.000001636008,0.0003090794,0.00003466244,0.7869167,0.00181197,0.03118589,0.1728307],"study_design_scores_gemma":[0.00150743,0.000110157,0.003617139,0.00002330318,0.00002716511,0.000006145576,0.0002854319,0.4897663,0.06272212,0.00030761,0.4413129,0.0003142583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7525581,0.001442909,0.2328166,0.008860205,0.001240648,0.0006799628,0.001654274,0.0005793896,0.0001678609],"genre_scores_gemma":[0.9976441,0.0003568386,0.001231952,0.0001795427,0.0001285728,0.00002964177,0.00006485262,0.00001678665,0.0003476681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7241946,"threshold_uncertainty_score":0.291113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657406783338837,"score_gpt":0.2261138612991388,"score_spread":0.2095397934657505,"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."}}