{"id":"W2562715359","doi":"10.1039/c6ew00279j","title":"Development and application of an improved protocol to characterize biofilms in biologically active drinking water filters","year":2016,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Biofilm; Protocol (science); Biochemical engineering; Biological system; Environmental science; Biological activity; Chemistry; Biology; Bacteria; Engineering; Biochemistry; Medicine; In vitro","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009642264,0.0001497622,0.0001382949,0.0004009461,0.0002525366,0.00002738566,0.0004654277,0.0001093518,0.0003189794],"category_scores_gemma":[0.00001420612,0.00007300187,0.00001400071,0.0003323329,0.001858874,0.0005062001,0.00117046,0.0001195587,0.0003715812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635504,"about_ca_system_score_gemma":0.000008479617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001437887,"about_ca_topic_score_gemma":0.00009353676,"domain_scores_codex":[0.9978058,0.00006067127,0.0002493288,0.0007253416,0.0004004695,0.0007583297],"domain_scores_gemma":[0.9994975,0.00001004314,0.00003260752,0.0003095678,0.000005324846,0.0001449993],"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":[0.00006983677,0.0001723701,0.04304991,0.000001663155,0.000001657217,0.000003212977,0.0005358489,0.000001659087,0.8289586,0.000006391131,4.288893e-7,0.1271984],"study_design_scores_gemma":[0.0004096546,0.0004263092,0.1309571,0.000008600186,6.833773e-7,0.000006266583,0.0001422161,0.00002997905,0.8655923,0.0003588091,0.001948823,0.0001192971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893799,2.345123e-7,0.0001270584,0.0006478355,0.00001019802,0.00967015,0.000003352334,0.00003712519,0.0001241406],"genre_scores_gemma":[0.9836572,9.408008e-7,0.001942458,0.00001808096,0.000005281684,0.01429269,0.000007828973,0.000008536925,0.00006693276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1270791,"threshold_uncertainty_score":0.6849101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028913901596089,"score_gpt":0.2896481228905803,"score_spread":0.2693589838746194,"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."}}