{"id":"W4224218418","doi":"10.1002/opfl.1663","title":"Mobile DMA Unit Provides a Proactive Leakage Management Strategy","year":2022,"lang":"en","type":"article","venue":"Opflow","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmarking; Unit (ring theory); Leakage (economics); Unit testing; Computer science; Operations management; Business; Reliability engineering; Engineering; Operating system; Psychology; Marketing","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":[0.0006775454,0.0004498434,0.0004129628,0.001259937,0.0008971932,0.001415573,0.001088406,0.0005784505,0.0199664],"category_scores_gemma":[0.001399908,0.0001718287,0.0002348396,0.0009400433,0.00028853,0.0009363657,0.001328072,0.0004401907,0.00484053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100309,"about_ca_system_score_gemma":0.002680678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01191224,"about_ca_topic_score_gemma":0.02523458,"domain_scores_codex":[0.9995205,0.000066079,0.00001746017,0.00005560973,0.0002347,0.0001055435],"domain_scores_gemma":[0.9988921,0.0001117501,0.0001018953,0.0001616844,0.0005575536,0.0001750225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004802383,0.0005919518,0.02897661,0.0002355668,0.00003035802,0.0002953047,0.0005186705,0.01227603,0.04739746,0.006559862,0.06441174,0.8382263],"study_design_scores_gemma":[0.0004161741,0.003529268,0.04988014,0.0002506506,0.00009397524,0.001062259,0.002510026,0.08917291,0.05805017,0.003803034,0.791034,0.0001973556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4116313,0.0008742639,0.2310465,0.004649354,0.000465981,0.002769786,0.003042894,0.02137253,0.3241474],"genre_scores_gemma":[0.8807059,0.0001975397,0.03696551,0.0005240173,0.000067119,0.0003877897,0.0007015517,0.0002946063,0.08015607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199664,"threshold_uncertainty_score":0.06679422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01177657597604047,"score_gpt":0.1978047771621041,"score_spread":0.1860282011860636,"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."}}