{"id":"W4396905275","doi":"10.2166/wst.2024.159","title":"Towards good modelling practice for parallel hybrid models for wastewater treatment processes","year":2024,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"CTT Group (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering","keywords":"Computer science; Wastewater; Environmental science; Environmental 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003507484,0.001220054,0.001030584,0.0006124384,0.0005518965,0.001900246,0.002255913,0.001642097,0.002799372],"category_scores_gemma":[0.006195279,0.001044854,0.001347618,0.0004621666,0.0008787622,0.002230157,0.002027689,0.00216166,0.0006170574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160443,"about_ca_system_score_gemma":0.001732646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01426803,"about_ca_topic_score_gemma":0.012711,"domain_scores_codex":[0.9991117,0.0004000545,0.00007110083,0.0001644069,0.0001977422,0.00005496002],"domain_scores_gemma":[0.9975298,0.001247923,0.0002083397,0.0003330294,0.0005997079,0.00008119578],"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":[0.00001814615,0.00002206795,0.0003494548,0.00003430606,0.00002703747,0.00002740964,0.00002321191,0.9902981,0.0005257306,0.002636785,0.0001746732,0.005863182],"study_design_scores_gemma":[0.00000466801,0.000006395503,0.00003411138,0.000006287601,0.000003132779,0.000003129486,0.000005616209,0.9967796,0.0002113717,0.00263628,0.0003068956,0.000002537174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02510956,0.0002790619,0.9681675,0.0007068893,0.00005758191,0.0001323433,0.0002170886,0.001315393,0.004014594],"genre_scores_gemma":[0.5891745,0.0003799263,0.4058408,0.0002203059,0.00006678806,0.0005211631,0.0006358774,0.0003361203,0.002824478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01426803,"threshold_uncertainty_score":0.02836996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02707806874841813,"score_gpt":0.2642442430682009,"score_spread":0.2371661743197828,"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."}}