{"id":"W4393177403","doi":"10.1016/j.softx.2024.101682","title":"ADM1jl: A Julia implementation of the Anaerobic Digestion Model 1","year":2024,"lang":"en","type":"article","venue":"SoftwareX","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Implementation; Anaerobic digestion; Computer science; Task (project management); Digestion (alchemy); Anaerobic exercise; Programming language; Chemistry; Chromatography; Systems engineering; Engineering","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":[0.00006352353,0.00007098382,0.00005244191,0.00001534043,0.00005227748,0.00001738729,0.0001059288,0.00002361191,0.0005536513],"category_scores_gemma":[0.000002825686,0.00004493646,0.00006550678,0.0001589772,0.00005021469,0.0001290866,0.00007990134,0.0000409443,0.0001738611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008049449,"about_ca_system_score_gemma":0.00001534419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000250167,"about_ca_topic_score_gemma":0.00009736694,"domain_scores_codex":[0.9994478,0.00001741523,0.0001059308,0.0001435897,0.0001682176,0.0001171125],"domain_scores_gemma":[0.9998041,0.00001157363,0.00002320393,0.0001342748,0.000002684162,0.00002417909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005701666,0.0002432409,0.3774658,0.0001359933,0.0002144606,0.0000278752,0.00841439,0.01774079,0.3826641,0.00213867,0.03441137,0.1764862],"study_design_scores_gemma":[0.001187093,0.000279136,0.3364175,0.0001414923,0.0003464427,0.00003879747,0.0005060988,0.03743773,0.5926895,0.02310734,0.007227072,0.000621879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982055,0.00007215373,0.0009479716,0.0002048031,0.0001164322,0.0001505641,0.00001549565,0.00006302939,0.0002240478],"genre_scores_gemma":[0.9953581,0.000006140901,0.003635799,0.00003411557,0.00001342417,0.00001116317,0.00001036945,0.00000924029,0.0009216118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2100253,"threshold_uncertainty_score":0.6062093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132169256834094,"score_gpt":0.2501226726745897,"score_spread":0.2388009801062487,"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."}}