{"id":"W2423652576","doi":"10.1177/0308518x16654913","title":"The weight of water: Benchmarking for public water services","year":2016,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Water resources management and optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Benchmarking; Public sector; Water sector; Private sector; Corporate governance; Equity (law); Accountability; Sustainability; Business; Water industry; Environmental economics; Public relations; Public economics; Economics; Management science; Political science; Engineering; Economic growth; Marketing; Water supply; Economy; Finance; Environmental engineering","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":[0.03202391,0.0008620051,0.0008837294,0.008196418,0.003104165,0.01169216,0.002085165,0.002217928,0.005303011],"category_scores_gemma":[0.06929653,0.0003236706,0.0006152777,0.01602019,0.00608392,0.01496352,0.006385395,0.002801981,0.0008583393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01273957,"about_ca_system_score_gemma":0.01858753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105859,"about_ca_topic_score_gemma":0.01076927,"domain_scores_codex":[0.9471039,0.03148989,0.002179726,0.001568137,0.01538551,0.002272875],"domain_scores_gemma":[0.9739604,0.008226816,0.003496623,0.003355836,0.009155851,0.001804522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000899472,0.0001009013,0.007676618,0.0005256648,0.00003045262,0.00006631164,0.002039456,0.005536967,0.0004517999,0.6998125,0.02206927,0.2616001],"study_design_scores_gemma":[0.00003843398,0.0003381089,0.01658893,0.002380139,0.00006219803,0.0001872131,0.01181333,0.02409828,0.002653203,0.6653051,0.2763742,0.0001608565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08400025,0.02093356,0.3492065,0.1485803,0.003089985,0.0009463485,0.001156826,0.001317447,0.3907689],"genre_scores_gemma":[0.9004197,0.005888433,0.07957672,0.002123306,0.0005975635,0.0003988611,0.0006538817,0.0003478384,0.009993614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03202391,"threshold_uncertainty_score":0.1693606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005907576345190194,"score_gpt":0.1478211936168529,"score_spread":0.1419136172716627,"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."}}