{"id":"W2003594997","doi":"10.5942/jawwa.2015.107.0010","title":"Microbial Risk Modeling for Main Breaks","year":2014,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"Water Research Foundation; U.S. Environmental Protection Agency","keywords":"Flushing; Risk analysis (engineering); Disinfectant; Risk assessment; Environmental science; Risk management; Risk model; Contamination; Biology; Business; Chemistry; Computer science; Ecology","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":[0.001509413,0.00130207,0.001082874,0.0008824701,0.001005747,0.001831419,0.003134953,0.003453154,0.00870726],"category_scores_gemma":[0.004771758,0.0009917185,0.00282284,0.0007248005,0.0007234245,0.002120038,0.001940159,0.002893999,0.001082353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00184401,"about_ca_system_score_gemma":0.002168561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504697,"about_ca_topic_score_gemma":0.009111544,"domain_scores_codex":[0.9991952,0.0002074355,0.00004441527,0.0002114533,0.0001661671,0.0001753165],"domain_scores_gemma":[0.9977419,0.001107035,0.0003423051,0.0001291902,0.0005184672,0.0001611416],"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":[0.00004061356,0.00002905281,0.001335646,0.0000281848,0.00002016129,0.00007062073,0.00004741513,0.9911065,0.0006883506,0.004287484,0.0004227857,0.001923266],"study_design_scores_gemma":[0.00001622381,0.00007510948,0.0004390638,0.00001025592,0.0000141112,0.00003903528,0.00003672566,0.9939068,0.0003113671,0.003603033,0.001535855,0.0000124664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3431465,0.0008425355,0.609358,0.001480004,0.0002570265,0.0005375234,0.005146008,0.0009938439,0.03823851],"genre_scores_gemma":[0.9135504,0.0005532598,0.05171238,0.0002349118,0.00008503709,0.0008401139,0.001919833,0.0002794893,0.03082459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02504697,"threshold_uncertainty_score":0.04980236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00925266107987303,"score_gpt":0.2739698989673685,"score_spread":0.2647172378874955,"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."}}