{"id":"W1966230954","doi":"10.1139/l00-005","title":"Simple methods for evaluating the population of naidids in drinking water treatment plants","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Polytechnique Montréal","keywords":"Biofilter; Effluent; Environmental science; Filtration (mathematics); Environmental engineering; Population; Surface water; Pulp and paper industry; Environmental chemistry; Filter (signal processing); Chemistry; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007907335,0.0006771694,0.0004975221,0.00242298,0.0005009462,0.0006006606,0.0007316404,0.0005396791,0.001055908],"category_scores_gemma":[0.001245134,0.0003305653,0.0003414583,0.001352097,0.0004180074,0.0004076355,0.0008363043,0.0006670054,0.0004204409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004629461,"about_ca_system_score_gemma":0.000362185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168548,"about_ca_topic_score_gemma":0.007053362,"domain_scores_codex":[0.9975258,0.000358204,0.0003154369,0.0003949003,0.001299127,0.0001065829],"domain_scores_gemma":[0.9989246,0.0003163502,0.0002974755,0.00007636475,0.0002865537,0.00009877574],"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":[0.0002717403,0.0004245728,0.07352651,0.0005854262,0.00007562316,0.0001013406,0.0005901129,0.0006914499,0.8793818,0.0001477704,0.0001747099,0.04402893],"study_design_scores_gemma":[0.00006007815,0.003068693,0.5088304,0.0001130043,0.0001501407,0.0004861413,0.0008189096,0.006162968,0.4741041,0.0003104012,0.005763019,0.0001322277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763823,0.002238737,0.1118043,0.00007067009,0.00005265305,0.001640389,0.002560881,0.000303564,0.004946453],"genre_scores_gemma":[0.766596,0.003117033,0.2176327,0.00009139495,0.00005764477,0.002696104,0.00385772,0.00007014962,0.005881228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003168548,"threshold_uncertainty_score":0.006300211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02248074808034033,"score_gpt":0.2843867286701435,"score_spread":0.2619059805898032,"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."}}