{"id":"W4411474552","doi":"10.1016/j.watres.2025.124065","title":"Microbial consortia in full-scale pre-ozonated biologically active filters treating a high-DOC water: Effects of seasonal and operational variations","year":2025,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Water treatment; Environmental chemistry; Dissolved organic carbon; Full scale; Scale (ratio); Chemistry; Environmental engineering; Engineering; Geography","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":[0.0003495132,0.0004659223,0.0005966642,0.00033259,0.0003112466,0.0008414405,0.0002086508,0.0003027886,0.0002911471],"category_scores_gemma":[0.0004046203,0.0001833021,0.0003501255,0.0003174392,0.0003276193,0.0004236212,0.0004042963,0.0003300089,0.0001196606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003491298,"about_ca_system_score_gemma":0.0004872297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395294,"about_ca_topic_score_gemma":0.005436173,"domain_scores_codex":[0.9995933,0.00003621287,0.00003539256,0.0001448369,0.0001211857,0.00006910766],"domain_scores_gemma":[0.9997103,0.00005470003,0.00007462248,0.00001377479,0.00008488622,0.00006178214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002032575,0.00006152499,0.01023901,0.00006972013,0.00001950733,0.00005098456,0.0001269775,0.000146958,0.9863852,0.00001120412,0.000009596311,0.002676049],"study_design_scores_gemma":[0.00002950809,0.002472008,0.413036,0.00003166019,0.000131078,0.0002910828,0.001284353,0.003409819,0.577746,0.0000806562,0.001434634,0.00005326994],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992738,0.0001669896,0.0002703329,0.0000110552,0.000005041604,0.00001490865,0.0001176014,0.000006056142,0.000134075],"genre_scores_gemma":[0.9974577,0.0002997672,0.0014026,0.00002004194,0.000006953617,0.00004319018,0.0003730119,0.000007300858,0.0003895866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00395294,"threshold_uncertainty_score":0.007859886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148016493604588,"score_gpt":0.2807136809925536,"score_spread":0.2692335160565077,"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."}}