{"id":"W2739146082","doi":"10.14288/1.0347281","title":"Drinking water management and governance in small drinking water systems : integrating continuous performance improvement and risk-based benchmarking","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Risk management; Corporate governance; Business; Risk analysis (engineering); Environmental resource management; Operations management; Environmental science; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07161826,0.001094959,0.001237277,0.004596891,0.002740684,0.01641041,0.003855221,0.002357124,0.001014308],"category_scores_gemma":[0.0701163,0.0005169548,0.0008963139,0.00668563,0.005568848,0.01212026,0.01021839,0.003130035,0.0002506743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01592512,"about_ca_system_score_gemma":0.0393495,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276857,"about_ca_topic_score_gemma":0.0204823,"domain_scores_codex":[0.9297796,0.04844165,0.003524094,0.003343033,0.01063372,0.00427795],"domain_scores_gemma":[0.9302446,0.02836557,0.01083496,0.006596609,0.01827781,0.005680405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002225225,0.001475965,0.07547718,0.00258831,0.0004564544,0.0003112554,0.0109487,0.1124774,0.002615567,0.1503484,0.008311504,0.6347668],"study_design_scores_gemma":[0.0002422064,0.002998469,0.1077413,0.008157342,0.0005000498,0.0003044634,0.04203462,0.3601163,0.01165492,0.343205,0.1222836,0.0007618031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2813755,0.01264004,0.5331758,0.092822,0.0008713189,0.003395295,0.0003764669,0.001669417,0.07367423],"genre_scores_gemma":[0.9027952,0.002868527,0.09187599,0.0007913355,0.0001590932,0.0004190393,0.0001502821,0.00007169498,0.0008687934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9772314,"threshold_uncertainty_score":0.3787581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004354089609929609,"score_gpt":0.1371373730533374,"score_spread":0.1327832834434078,"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."}}