{"id":"W2889667995","doi":"10.2134/jeq2018.07.0277","title":"Microbial Water Quality: Monitoring and Modeling","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Water quality; Quality (philosophy); Nexus (standard); Environmental monitoring; Environmental science; Multidisciplinary approach; Metaproteomics; Environmental planning; Environmental resource management; Computer science; Ecology; Environmental engineering; Biology; Metagenomics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007233598,0.001014059,0.0008486022,0.0005030248,0.0004729755,0.002254184,0.00153825,0.002562873,0.001503314],"category_scores_gemma":[0.002327601,0.0004695963,0.001025631,0.00114325,0.0007124002,0.002058587,0.001442329,0.001428353,0.0005213425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008090957,"about_ca_system_score_gemma":0.001057475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01291597,"about_ca_topic_score_gemma":0.004996703,"domain_scores_codex":[0.9995553,0.0001383031,0.00002823475,0.0001016832,0.0001417039,0.00003480022],"domain_scores_gemma":[0.9994346,0.0003053956,0.00008133655,0.00004266682,0.00009997128,0.00003596245],"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":[0.00002921887,0.00005018125,0.002143586,0.0001727372,0.0000415598,0.00007068334,0.00005460058,0.9271643,0.0008640777,0.02664802,0.007058519,0.03570252],"study_design_scores_gemma":[0.000005375369,0.00001884484,0.000312176,0.00001704208,0.000008355682,0.00002753243,0.0000130306,0.9782661,0.0003008347,0.01363492,0.007385458,0.00001041247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03002485,0.01441798,0.9132512,0.01097225,0.001583083,0.000179592,0.001277899,0.001413218,0.02687993],"genre_scores_gemma":[0.6999109,0.03092553,0.2315595,0.001036862,0.00291155,0.0007938395,0.001769325,0.0004481743,0.03064434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01291597,"threshold_uncertainty_score":0.02568156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162533208229993,"score_gpt":0.3098682512767637,"score_spread":0.2582429191944637,"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."}}