{"id":"W2982443025","doi":"10.1002/aws2.1160","title":"Sedimentation: Hydraulic improvement of drinking water biofiltration","year":2019,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Water Research Foundation","keywords":"Sedimentation; Backwashing; Biofilter; Environmental science; Hydraulic head; Filter (signal processing); Effluent; Water treatment; Environmental engineering; Engineering; Geology; Sediment; Geotechnical 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":[0.0004252023,0.0004432405,0.0002731586,0.0003002263,0.0003147279,0.0004507197,0.0003191056,0.0002660291,0.001244894],"category_scores_gemma":[0.0006238769,0.0001258611,0.0003937495,0.0003191479,0.0002283407,0.0002651385,0.0004230014,0.0003542004,0.0001718817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499361,"about_ca_system_score_gemma":0.0005191789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005767062,"about_ca_topic_score_gemma":0.006868838,"domain_scores_codex":[0.9997386,0.00006565166,0.00002792379,0.0000391879,0.00008335517,0.00004532179],"domain_scores_gemma":[0.9997613,0.00004108673,0.00005738824,0.00002051012,0.00008263378,0.00003708381],"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":[0.0003405376,0.000158222,0.002842018,0.000268098,0.00002931151,0.00007060185,0.00004596736,0.002233351,0.9643948,0.00006622204,0.0002222858,0.02932862],"study_design_scores_gemma":[0.00006200308,0.001653503,0.02592152,0.00002232096,0.0001077533,0.0001264202,0.00007710737,0.00713181,0.9610447,0.00006478321,0.003763567,0.00002461885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910307,0.0008629405,0.006596334,0.0001551693,0.00005435881,0.00004814087,0.00009487047,0.0001759094,0.0009816687],"genre_scores_gemma":[0.9951261,0.0002453098,0.003752478,0.00003243423,0.00001583059,0.000009775732,0.00007311125,0.00001272139,0.0007322041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005767062,"threshold_uncertainty_score":0.01146698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007726319859192344,"score_gpt":0.2056578631695159,"score_spread":0.1979315433103235,"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."}}