{"id":"W3123766404","doi":"10.15625/2525-2518/58/5a/15190","title":"EVALUATION OF PERFORMANCE INDICATORS OF SELECTED WATER COMPANIES IN VIETNAM","year":2020,"lang":"en","type":"article","venue":"Vietnam Journal of Science and Technology/Science and Technology","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Tariff; Turbidity; Clarifier; Water quality; Water supply; Environmental engineering; Business; Environmental economics; Economics","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":[0.001440478,0.0003511058,0.0002302752,0.003675431,0.0003925418,0.001107974,0.0002032965,0.0001431618,0.0005214993],"category_scores_gemma":[0.002311066,0.0001162005,0.0002934277,0.00454166,0.0002182937,0.0005943896,0.0005220191,0.0001668732,0.0001139404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002851318,"about_ca_system_score_gemma":0.001272861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03509974,"about_ca_topic_score_gemma":0.02657727,"domain_scores_codex":[0.9989272,0.0002118584,0.0001105313,0.000123977,0.0003820375,0.0002445058],"domain_scores_gemma":[0.9969023,0.0004191558,0.000750127,0.00006384677,0.001540331,0.0003242574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001722495,0.0001907816,0.9388804,0.0001692696,0.0001183627,0.0005396301,0.001548687,0.005642828,0.004752204,0.0007098007,0.0009860427,0.04628979],"study_design_scores_gemma":[0.00000656596,0.00032194,0.974128,0.00003035377,0.00004933637,0.0001745835,0.005158151,0.009595327,0.006163383,0.0001379158,0.004207454,0.00002693245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995672,0.0001514047,0.0006229989,0.00004723754,0.000003307165,0.0000343213,0.0004214953,0.00001266965,0.003034592],"genre_scores_gemma":[0.9979261,0.000135414,0.0005759291,0.000006292876,0.000002072059,0.00001439238,0.0005364501,0.000002810655,0.0008004453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03509974,"threshold_uncertainty_score":0.0697909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009679007355438883,"score_gpt":0.2129553545703012,"score_spread":0.2032763472148623,"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."}}