{"id":"W3167043589","doi":"10.1039/d1ew00231g","title":"Plant-wide systems microbiology for the wastewater industry","year":2021,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Ottawa; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Royal Society of Chemistry; Technische Universiteit Delft; McGill University","keywords":"Wastewater; Biotechnology; Engineering; Environmental science; Waste management; Microbiology; Pulp and paper industry; Biology","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":[0.004802268,0.000935004,0.0006562215,0.0008406758,0.001368625,0.003040901,0.001099934,0.00208051,0.005406567],"category_scores_gemma":[0.002742839,0.0003560684,0.0007339442,0.00111041,0.002560546,0.002747199,0.004430725,0.004422888,0.004130387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002576522,"about_ca_system_score_gemma":0.003660285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559353,"about_ca_topic_score_gemma":0.003298694,"domain_scores_codex":[0.9967801,0.001786915,0.000181509,0.0002715626,0.0007828167,0.0001970335],"domain_scores_gemma":[0.9985322,0.0004576177,0.0001270208,0.000431156,0.0002989453,0.0001531249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001232179,0.0002919726,0.001766943,0.002100668,0.00003700534,0.0003945866,0.001845609,0.003436202,0.156698,0.4551059,0.03428212,0.3439178],"study_design_scores_gemma":[0.00003117749,0.0004760832,0.001652638,0.0007790074,0.00003837099,0.0006323137,0.0007688553,0.007064819,0.04887028,0.1396732,0.7999354,0.00007780103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01796175,0.02942175,0.8474362,0.03112032,0.002874501,0.0007343813,0.0004236315,0.003202935,0.06682466],"genre_scores_gemma":[0.1614208,0.02486394,0.7671825,0.008247823,0.001184283,0.001104363,0.0007713895,0.000632283,0.03459263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005406567,"threshold_uncertainty_score":0.02539712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744716921646878,"score_gpt":0.2696818349834968,"score_spread":0.242234665767028,"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."}}