{"id":"W3197055594","doi":"10.18331/brj2021.8.3.2","title":"Distillery decarbonisation and anaerobic digestion: balancing benefits and drawbacks using a compromise programming approach","year":2021,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science Foundation Ireland; Pernod Ricard; European Commission","keywords":"Stillage; Anaerobic digestion; Scope (computer science); Electricity; Greenhouse gas; Waste management; Environmental science; Engineering; Computer science; Fermentation; Chemistry; Food 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000900319,0.0001452167,0.0001770253,0.00009154647,0.001154509,0.0003863446,0.0001191968,0.00007394044,0.00003032945],"category_scores_gemma":[0.0001985871,0.0001242893,0.00003307077,0.0003842672,0.0004779112,0.0003256515,0.0005886186,0.0004040103,0.000002972076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774975,"about_ca_system_score_gemma":0.00005251807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001998029,"about_ca_topic_score_gemma":0.0001187975,"domain_scores_codex":[0.9978594,0.0002768328,0.0002331305,0.0003835019,0.0007056847,0.0005414548],"domain_scores_gemma":[0.9993116,0.0001023377,0.00007027984,0.0001452368,0.00007389451,0.0002966259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002400222,0.0007514241,0.3906511,0.0002710205,0.0002368857,0.0007007898,0.004234646,0.002080424,0.1682934,0.005226978,0.0003437712,0.4269694],"study_design_scores_gemma":[0.00436632,0.0008798474,0.8719529,0.0009597113,0.0001272782,0.007961047,0.009306604,0.05163864,0.01334489,0.03181277,0.006070088,0.001579898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927254,0.003589446,0.0007764855,0.0003820345,0.00007117889,0.0001376038,0.000004432605,0.00001799289,0.002295424],"genre_scores_gemma":[0.9830497,0.0003099669,0.0163698,0.0000189015,0.0001403896,0.00001022344,0.000004251907,0.00001718954,0.00007960414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4813018,"threshold_uncertainty_score":0.8879664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06258325210042805,"score_gpt":0.3138064190312405,"score_spread":0.2512231669308124,"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."}}