{"id":"W4360946354","doi":"10.1002/wer.10854","title":"Physico‐chemical characteristics and biodegradability of primary effluent and particulate matter removed by microscreens","year":2023,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trojan Technologies (Canada); Western University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Suspended solids; Total suspended solids; Volatile suspended solids; Chemical oxygen demand; Clarifier; Total dissolved solids; Biodegradation; Chemistry; Effluent; Fractionation; Wastewater; Biochemical oxygen demand; Particulates; Chromatography; Environmental engineering; Organic chemistry; Environmental science","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":[0.0002547015,0.0005829767,0.000556091,0.0003778578,0.0002539067,0.0006430096,0.0002611447,0.0004440479,0.0007445305],"category_scores_gemma":[0.0004000991,0.0001634183,0.00047596,0.000350556,0.0001868342,0.0003426402,0.000259546,0.0003828495,0.000269003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003949028,"about_ca_system_score_gemma":0.000367282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526055,"about_ca_topic_score_gemma":0.004981067,"domain_scores_codex":[0.9996226,0.0000371676,0.0000273715,0.00008837669,0.0001600747,0.00006437457],"domain_scores_gemma":[0.9998152,0.00003317497,0.00004815398,0.000008837024,0.00006130917,0.00003347434],"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":[0.00009625783,0.00006349367,0.002500683,0.00005191517,0.000008890647,0.00003401451,0.00003054885,0.0001108081,0.9945728,0.000007170387,0.00001470295,0.002508695],"study_design_scores_gemma":[0.00001140298,0.0009694793,0.06358341,0.00001215402,0.00002774675,0.0001086291,0.0001111386,0.001094524,0.9334971,0.0000144843,0.0005592508,0.00001070163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991897,0.00007254306,0.0004762191,0.000008101113,0.000002933554,0.00001487448,0.00006513468,0.00001482751,0.0001556491],"genre_scores_gemma":[0.9959258,0.0001543355,0.002067479,0.00003051893,0.000004206232,0.00002260803,0.0004211747,0.00002041893,0.001353571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004526055,"threshold_uncertainty_score":0.008999407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721059547590429,"score_gpt":0.2520380953233795,"score_spread":0.2248274998474752,"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."}}