{"id":"W2968451434","doi":"10.5267/j.uscm.2019.1.003","title":"Design of a supply chain to produce ethanol from one residuum and two coffee by-products","year":2019,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Residuum; Supply chain; Chain (unit); Business; Marketing; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007765368,0.0007028154,0.0008687426,0.0008119595,0.002393571,0.002583848,0.001507121,0.002244908,0.006575699],"category_scores_gemma":[0.000892176,0.0007730751,0.0009731593,0.0008538325,0.001075819,0.001195212,0.001472502,0.0006565878,0.0007070667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843527,"about_ca_system_score_gemma":0.002863706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00872917,"about_ca_topic_score_gemma":0.0076306,"domain_scores_codex":[0.9991929,0.0002070373,0.00003888344,0.0002824804,0.0001615302,0.0001172],"domain_scores_gemma":[0.9993332,0.0001807921,0.0001319615,0.00004370361,0.0001987331,0.0001115691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005599569,0.0002758433,0.002341152,0.0003770014,0.0001082271,0.0009434637,0.0003116736,0.9177612,0.02585041,0.0168865,0.0009105673,0.03367413],"study_design_scores_gemma":[0.00007023813,0.0004215592,0.0004893226,0.00002697809,0.00008039207,0.00009842986,0.0001383678,0.9859956,0.005403188,0.004961077,0.002282783,0.00003203065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1654758,0.0002870926,0.8119426,0.0009748574,0.0001091869,0.0007638161,0.0002628281,0.0006560995,0.0195278],"genre_scores_gemma":[0.8870757,0.0002199441,0.1036712,0.0000814684,0.00002999319,0.0003746614,0.0001457619,0.00004109111,0.008360173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00872917,"threshold_uncertainty_score":0.02199793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957216044236113,"score_gpt":0.2247204526070639,"score_spread":0.2051482921647028,"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."}}