{"id":"W2342265936","doi":"10.2166/wqrj.2010.002","title":"Evaluation of Risk Assessment Tools to Predict Canadian Waterborne Disease Outbreaks","year":2010,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Canadian Water Network","keywords":"Risk assessment; Waterborne diseases; Outbreak; Environmental health; Risk analysis (engineering); Water quality; Environmental science; Environmental planning; Water contamination; Contamination; Business; Computer science; Medicine; Computer security; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005232211,0.001466729,0.0004274366,0.005254463,0.0008386289,0.001761683,0.00113105,0.0005331978,0.001828015],"category_scores_gemma":[0.0281075,0.0003348052,0.0007269152,0.001981515,0.0003519944,0.001062757,0.0008541303,0.0005677514,0.0002588205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009570829,"about_ca_system_score_gemma":0.007922077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6094026,"about_ca_topic_score_gemma":0.4545458,"domain_scores_codex":[0.9979596,0.000580115,0.0002069406,0.0002391858,0.0008673792,0.0001467837],"domain_scores_gemma":[0.9806041,0.009690497,0.001996131,0.0004735229,0.006750044,0.0004857824],"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":[0.0009603017,0.0009000803,0.4131812,0.0002569886,0.0003115002,0.0002013715,0.0004971078,0.4608655,0.001806947,0.002409222,0.005290186,0.1133196],"study_design_scores_gemma":[0.00008552775,0.0002647706,0.05252071,0.00003792088,0.00007365877,0.00003844142,0.0002704074,0.9426197,0.002017677,0.0007879513,0.00123503,0.00004800583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271123,0.000308146,0.05092338,0.0004933898,0.00004684448,0.001391063,0.006339273,0.001882725,0.01150281],"genre_scores_gemma":[0.9520536,0.0001405595,0.04354543,0.00002789388,0.000006176302,0.0002519619,0.003096846,0.00002577864,0.0008519397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3905974,"threshold_uncertainty_score":0.7857954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.149561767137694,"score_gpt":0.4390851093855012,"score_spread":0.2895233422478072,"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."}}