{"id":"W4280596977","doi":"10.1007/s11356-022-20668-2","title":"Modelling of micropollutant fate in hybrid growth systems: model concepts, Peterson matrix, and application to a lab-scale pilot plant","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Isfahan University of Medical Sciences","keywords":"Sorption; Biomass (ecology); Moving bed biofilm reactor; Biodegradation; Environmental chemistry; Nitrification; Chemistry; Cometabolism; Denitrification; Wastewater; Sewage treatment; Bioreactor; Activated sludge model; Activated sludge; Environmental science; Environmental engineering; Adsorption; Pulp and paper industry; Biofilm; Nitrogen; Contamination; Bioremediation; Ecology","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":[0.0002401728,0.0005558017,0.0005397947,0.0001855754,0.0005502798,0.0009160335,0.0006384216,0.001101795,0.0012825],"category_scores_gemma":[0.0004303991,0.000305087,0.0005442356,0.0002178392,0.0004078926,0.0007508118,0.0004771786,0.0005848865,0.0002008909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007502382,"about_ca_system_score_gemma":0.0007894055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182492,"about_ca_topic_score_gemma":0.008230655,"domain_scores_codex":[0.9999291,0.00001635736,0.00000402083,0.00001947508,0.00001933709,0.00001172031],"domain_scores_gemma":[0.9997465,0.0001666154,0.00002712743,0.00001067785,0.00003394566,0.00001508928],"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":[0.00005116499,0.00005887622,0.000682021,0.00005197042,0.000008627188,0.00005777507,0.00003863068,0.9808239,0.01500338,0.0009455082,0.00006033713,0.002217814],"study_design_scores_gemma":[0.000007475115,0.00005672644,0.0002051929,0.000001753944,0.000004793682,0.000009807494,0.00001818747,0.9950107,0.004192874,0.0003382427,0.0001487571,0.000005353076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487034,0.0003195303,0.1437165,0.0002540932,0.00002368385,0.0001321125,0.0003176945,0.0002201436,0.006312856],"genre_scores_gemma":[0.9828032,0.0002768078,0.01287441,0.00002072051,0.000004379916,0.0001254234,0.00009880054,0.00002596622,0.003770296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182492,"threshold_uncertainty_score":0.02351213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05155654536147657,"score_gpt":0.3309468984391979,"score_spread":0.2793903530777214,"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."}}