{"id":"W1979795923","doi":"10.5942/jawwa.2014.106.0107","title":"Assessment of biomass in drinking water biofilters by adenosine triphosphate","year":2014,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Biofilter; Environmental science; Biomass (ecology); Adenosine triphosphate; Pulp and paper industry; Carbon source; Environmental engineering; Chemistry; Biology; Ecology; Biochemistry; 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":[0.0003848585,0.0003292651,0.000231247,0.0005329639,0.0003048169,0.0007446794,0.000356145,0.0003518929,0.0003409112],"category_scores_gemma":[0.0007248738,0.000196709,0.0002789465,0.0004111414,0.0002003555,0.0004085937,0.0003469705,0.0003368616,0.0001622917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379587,"about_ca_system_score_gemma":0.0002577758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152393,"about_ca_topic_score_gemma":0.01128975,"domain_scores_codex":[0.9995238,0.00008250478,0.00004999589,0.00005891001,0.000239417,0.00004543538],"domain_scores_gemma":[0.999611,0.0001378144,0.00006045607,0.00002283921,0.000134412,0.00003353869],"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":[0.0001351627,0.00006314926,0.01176425,0.00009272715,0.00001844618,0.00004702757,0.0001326153,0.000346677,0.9807203,0.0000277209,0.0000321947,0.006619729],"study_design_scores_gemma":[0.000009190871,0.0006983506,0.06704433,0.00003020369,0.00004591384,0.00008315095,0.0004177045,0.005394766,0.9251776,0.00006778006,0.001012458,0.00001860025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940937,0.000556991,0.004290849,0.00003128794,0.00001009146,0.00002605797,0.0002555354,0.00003443663,0.0007010225],"genre_scores_gemma":[0.986736,0.001433396,0.01009236,0.00005461332,0.000008364607,0.00006267009,0.0004695312,0.00001923054,0.001123854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152393,"threshold_uncertainty_score":0.01024485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002797031992964437,"score_gpt":0.2101222272781616,"score_spread":0.2073251952851972,"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."}}