{"id":"W2117905002","doi":"10.2166/wqrjc.2011.102","title":"Application of risk assessment tools to small drinking water systems in British Columbia","year":2011,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Risk assessment; Risk analysis (engineering); Environmental science; Process (computing); Water supply; Water source; Environmental planning; Computer science; Environmental engineering; Water resource management; Business; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006144912,0.00007380445,0.0001838809,0.00008195172,0.0002883367,0.000554011,0.000259477,0.00006583142,0.0009506429],"category_scores_gemma":[0.00003897389,0.00006574741,0.00007008563,0.0001514167,0.00009772873,0.0003843049,0.0002547572,0.0003682445,0.0002846878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613162,"about_ca_system_score_gemma":0.00001139054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2610142,"about_ca_topic_score_gemma":0.08239287,"domain_scores_codex":[0.9970332,0.0009614848,0.0005077911,0.0002660053,0.0006831366,0.0005484219],"domain_scores_gemma":[0.9994139,0.00004713143,0.00006349728,0.000224732,0.00006859475,0.0001821633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002397976,0.0002822283,0.9603596,0.00001395224,0.0000155398,0.00001843341,0.002680211,0.0001606238,0.02512597,0.00000685159,0.0001425471,0.01117007],"study_design_scores_gemma":[0.000488241,0.0001598147,0.9831039,0.00004195561,0.000007002204,0.00003558581,0.0004996434,0.00008295482,0.01175745,0.003060243,0.0006448477,0.0001183254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955961,0.000007351387,0.001668239,0.00005344238,0.00008594801,0.0004507393,0.000005749254,0.0000120746,0.002120432],"genre_scores_gemma":[0.998836,0.00001661462,0.0006088472,0.000009107608,0.00005261584,0.00006658769,0.00001353067,0.00001101724,0.0003856892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1786213,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230750846832305,"score_gpt":0.3556239585438216,"score_spread":0.2325488738605911,"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."}}