{"id":"W2950476216","doi":"10.1016/j.copbio.2019.05.009","title":"Applying biotechnology for drinking water biofiltration: advancing science and practice","year":2019,"lang":"en","type":"review","venue":"Current Opinion in Biotechnology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Environmental Protection Agency; National Science Foundation","keywords":"Biofilter; Metaproteomics; Metagenomics; Bioaugmentation; Biochemical engineering; Environmental science; Biotechnology; Water quality; Bioremediation; Environmental engineering; Engineering; Biology; Ecology; Contamination","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":[0.001750759,0.001211457,0.001954635,0.002961705,0.0003245414,0.002086738,0.001328234,0.002521426,0.004221854],"category_scores_gemma":[0.00191018,0.0003233233,0.0007238891,0.004615117,0.001053892,0.002289449,0.0009555758,0.003135356,0.001810074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110729,"about_ca_system_score_gemma":0.002672105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239987,"about_ca_topic_score_gemma":0.00435631,"domain_scores_codex":[0.999464,0.00007360285,0.0000624284,0.0001069823,0.0002469805,0.00004599311],"domain_scores_gemma":[0.9983998,0.0009166519,0.0001889134,0.0000358792,0.0003610352,0.00009785026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006478374,0.00007356152,0.0001138244,0.02835028,0.0000879999,0.00009204456,0.00003589947,0.0003012398,0.001729992,0.004097605,0.02656466,0.9384881],"study_design_scores_gemma":[0.00002595518,0.00009709547,0.0006143643,0.009262644,0.0001832949,0.0004203396,0.00007084037,0.0001288415,0.0005068131,0.003058135,0.985603,0.00002866386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003515934,0.9987134,0.0001226818,0.0003750727,0.0002585689,0.000002842522,0.0000106328,0.000004263828,0.0004774403],"genre_scores_gemma":[0.0002456132,0.9988721,0.0001723886,0.0002898187,0.000185263,0.000003391832,0.00001443487,0.000001086166,0.000215907],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004221854,"threshold_uncertainty_score":0.0141235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07735346943288224,"score_gpt":0.3769762855579069,"score_spread":0.2996228161250247,"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."}}