{"id":"W4388579614","doi":"10.2139/ssrn.4624903","title":"ADM1jl: A Julia Implementation of the Anaerobic Digestion Model 1","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"","keywords":"Anaerobic digestion; Digestion (alchemy); Anaerobic exercise; Pulp and paper industry; Environmental science; Chemistry; Engineering; Chromatography; Ecology; Biology; Methane","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":[0.001021317,0.001260212,0.001063931,0.0006884384,0.0007139399,0.002059046,0.005462512,0.001677705,0.03113357],"category_scores_gemma":[0.002919452,0.001031261,0.001419045,0.0008096675,0.000624141,0.001427162,0.001570165,0.001946417,0.009441252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045046,"about_ca_system_score_gemma":0.00168156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006438401,"about_ca_topic_score_gemma":0.006547184,"domain_scores_codex":[0.9994578,0.000108618,0.00003635786,0.0001222492,0.0001699363,0.0001051413],"domain_scores_gemma":[0.9991478,0.0002654396,0.00004703751,0.0002941392,0.0001801069,0.00006555426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002264646,0.0007230887,0.005919703,0.0008985779,0.0004037483,0.0005750119,0.0003790333,0.6694297,0.01893944,0.08275917,0.06642395,0.1512839],"study_design_scores_gemma":[0.000211269,0.00004191785,0.000209152,0.00001844643,0.0000329681,0.00004783012,0.00002059564,0.9553385,0.007357992,0.01448467,0.02220344,0.00003309489],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03057932,0.0001938208,0.8040016,0.0003162154,0.0004516543,0.0002069932,0.005563638,0.1256516,0.03303509],"genre_scores_gemma":[0.326446,0.000265989,0.6249415,0.0004251675,0.0001204576,0.00048884,0.007633965,0.01708108,0.02259692],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03113357,"threshold_uncertainty_score":0.1041521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02425978652911721,"score_gpt":0.2896406009408058,"score_spread":0.2653808144116886,"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."}}