{"id":"W1420326777","doi":"10.5942/jawwa.2015.107.0141","title":"Application of Quantitative Microbial Risk Assessment at 17 Canadian Water Treatment Facilities","year":2015,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Polytechnique Montréal","funders":"U.S. Environmental Protection Agency","keywords":"Disinfectant; Continuous stirred-tank reactor; Risk assessment; Environmental science; Water treatment; Filtration (mathematics); Environmental engineering; Mathematics; Medicine; Chemistry; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001409272,0.001580449,0.0006192827,0.0008439372,0.001277113,0.001251388,0.001549397,0.0008132112,0.001080558],"category_scores_gemma":[0.002271772,0.0006144019,0.0008823032,0.0008697124,0.0006124309,0.000435538,0.0006602741,0.0006954325,0.00008704884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02857361,"about_ca_system_score_gemma":0.02295803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9399901,"about_ca_topic_score_gemma":0.8841133,"domain_scores_codex":[0.9988977,0.0002521718,0.00003476214,0.0001848962,0.0003865858,0.0002438933],"domain_scores_gemma":[0.9984657,0.0004236701,0.0001450633,0.000053582,0.0008128281,0.00009916708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007524499,0.0000696326,0.008777815,0.00003122745,0.00002826454,0.00004918126,0.00003640397,0.9835274,0.001117389,0.0003314409,0.0002131999,0.005742841],"study_design_scores_gemma":[0.00003844251,0.0001555593,0.00532476,0.000006997491,0.00003005891,0.00001110032,0.00008117274,0.9918576,0.001710639,0.0002373771,0.0005215282,0.00002478305],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636137,0.0001364547,0.02687954,0.0002293639,0.00001166814,0.000526539,0.001653147,0.0002488568,0.006700647],"genre_scores_gemma":[0.9862678,0.00009706862,0.01100379,0.0000279354,0.000002253078,0.0001361692,0.0005926987,0.00001505613,0.001857343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0600099,"threshold_uncertainty_score":0.207317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014765380765872,"score_gpt":0.2598769179300268,"score_spread":0.2451115371641548,"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."}}