{"id":"W4382059983","doi":"10.3390/pr11071899","title":"A New ODE-Based Julia Implementation of the Anaerobic Digestion Model No. 1 Greatly Outperforms Existing DAE-Based Java and Python Implementations","year":2023,"lang":"en","type":"article","venue":"Processes","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CH Four Biogas (Canada); University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Python (programming language); Ode; Implementation; Java; Computer science; MATLAB; Java applet; Programming language; Algorithm; Applied mathematics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001552911,0.0001497241,0.0001188692,0.0001343023,0.0001636175,0.00004770905,0.0000985829,0.00004431795,0.00003661198],"category_scores_gemma":[0.00008156602,0.0001189469,0.00003494702,0.0006826167,0.00003373482,0.0002357251,0.00002129803,0.00007799995,0.00001429283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257844,"about_ca_system_score_gemma":0.000205167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001721688,"about_ca_topic_score_gemma":0.000263535,"domain_scores_codex":[0.9991061,0.00001326863,0.0002826563,0.00019772,0.0001960718,0.0002041723],"domain_scores_gemma":[0.9994975,0.00003413647,0.00009344436,0.000149705,0.0001693617,0.00005584492],"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":[0.0000821475,0.00008392796,0.0601143,0.002857067,0.0001039478,0.000001566058,0.002576126,0.8100421,0.03743475,0.002722088,0.0169529,0.06702911],"study_design_scores_gemma":[0.004494708,0.0003886764,0.0785854,0.0006146149,0.0003431252,0.000006874297,0.002570665,0.4717227,0.4251107,0.002186937,0.01277779,0.001197818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9232163,0.0002954505,0.07188939,0.001470896,0.0005255287,0.000894695,0.0001059233,0.001022269,0.0005794871],"genre_scores_gemma":[0.9952844,0.00008566381,0.004012358,0.00005918819,0.00007101156,0.00004833394,0.0001692623,0.00002882596,0.000240932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3876759,"threshold_uncertainty_score":0.4850515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145348938454942,"score_gpt":0.2850313873629734,"score_spread":0.253577897978424,"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."}}