{"id":"W2048792255","doi":"10.1016/j.watres.2008.11.030","title":"Modeling of heterotrophic bacteria counts in a water distribution system","year":2008,"lang":"en","type":"article","venue":"Water Research","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Sampling (signal processing); Residual; Statistics; Water quality; Heterotroph; Poisson distribution; Econometrics; Atmospheric sciences; Ecology; Mathematics; Computer science; Bacteria; Biology; Algorithm; Geology","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":[0.0006151848,0.0008540916,0.001205962,0.0005512019,0.001165601,0.001912296,0.001812311,0.002677697,0.002444786],"category_scores_gemma":[0.001856633,0.001003412,0.001193403,0.0006730106,0.001508174,0.00139921,0.000861748,0.001242045,0.0002404894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075218,"about_ca_system_score_gemma":0.002015641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1220744,"about_ca_topic_score_gemma":0.04547975,"domain_scores_codex":[0.9997014,0.00007729971,0.00001113502,0.00007367567,0.00003794105,0.00009855379],"domain_scores_gemma":[0.9988422,0.0007245095,0.0001191593,0.00003879528,0.0001322549,0.0001430109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002693019,0.00002050283,0.001054918,0.000004828837,0.000006787021,0.00002402042,0.00001200925,0.9979413,0.0002087608,0.0003637717,0.00004435835,0.0002917203],"study_design_scores_gemma":[0.00000570895,0.000008868958,0.0002218094,6.157798e-7,0.000003241509,0.000002590164,0.00000985334,0.999539,0.00006283083,0.0001205859,0.00002236108,0.000002566483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688247,0.0001560229,0.02361463,0.0005117058,0.00003536276,0.00005372947,0.0004243444,0.0001555954,0.006223866],"genre_scores_gemma":[0.994642,0.00007508817,0.002001806,0.00003426759,0.000008988303,0.00003708455,0.0001050349,0.00002498699,0.003070601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1220744,"threshold_uncertainty_score":0.2427278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0607901528463624,"score_gpt":0.2878034315500009,"score_spread":0.2270132787036385,"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."}}