{"id":"W2054711081","doi":"10.1016/j.apenergy.2012.02.028","title":"Mathematical model of a laboratory-scale plant for slaughterhouse effluents biodigestion for biogas production","year":2012,"lang":"en","type":"article","venue":"Applied Energy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Effluent; Biogas; Genetic algorithm; Chemical oxygen demand; Methane; Population; Scale (ratio); Degradation (telecommunications); Mathematics; Anaerobic digestion; Engineering; Environmental engineering; Biological system; Process engineering; Environmental science; Chemistry; Waste management; Mathematical optimization; Wastewater; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005243716,0.0009081011,0.001377417,0.0006714883,0.00115176,0.002006931,0.002436885,0.004025071,0.01225829],"category_scores_gemma":[0.001157128,0.0008140827,0.001200499,0.0007592175,0.001364333,0.001282119,0.001312945,0.001524599,0.001360541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218853,"about_ca_system_score_gemma":0.001840496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03244942,"about_ca_topic_score_gemma":0.01561956,"domain_scores_codex":[0.9996561,0.0000804412,0.00001337536,0.000105269,0.00006922262,0.00007566364],"domain_scores_gemma":[0.9994338,0.0002865798,0.00007567186,0.00002218217,0.0001348833,0.00004692496],"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":[0.00004954711,0.00004643862,0.00029643,0.00006869141,0.00001560214,0.0001452596,0.00003930377,0.9874205,0.001304161,0.008783631,0.0005986297,0.00123171],"study_design_scores_gemma":[0.0000180546,0.00002223838,0.000152153,0.00000517532,0.0000102224,0.00001598835,0.00001917809,0.9977545,0.0001644387,0.00146981,0.0003589491,0.000009211773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.269467,0.001257677,0.5489017,0.004206755,0.00039169,0.0004319146,0.003976968,0.0009794178,0.1703869],"genre_scores_gemma":[0.9421464,0.0004484594,0.01059796,0.0001749197,0.00005821158,0.0003822212,0.000594069,0.0000834509,0.04551425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03244942,"threshold_uncertainty_score":0.06452107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146399205673069,"score_gpt":0.2044473422210225,"score_spread":0.1898074216537156,"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."}}