{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006618172,0.00008017755,0.00007445802,0.00005432354,0.00009205453,0.00003639663,0.00009354039,0.00001574246,0.0001807182],"category_scores_gemma":[4.214386e-7,0.00007969647,0.00002280044,0.0001380954,0.000005406826,0.00009408897,0.00004921727,0.00008021846,0.00002485031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006373844,"about_ca_system_score_gemma":0.000005671586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000212934,"about_ca_topic_score_gemma":0.00001580676,"domain_scores_codex":[0.9995183,0.00002209648,0.00009815933,0.0001111112,0.0001155231,0.000134779],"domain_scores_gemma":[0.9998134,0.00000313335,0.00001356488,0.0001342647,0.000009952016,0.00002570642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005103984,0.00002652471,0.00006803159,0.00008477082,0.00005775379,0.00002165447,0.000720778,0.9875309,0.0001064327,0.0004193145,0.004853357,0.006105326],"study_design_scores_gemma":[0.001051042,0.0004703974,0.00124038,0.00003471165,0.00005733001,0.00002576999,0.006106315,0.6155528,0.003336771,0.000341473,0.371141,0.0006419586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3883047,0.001107896,0.03905176,0.00005900184,0.00207094,0.004737417,0.0001246841,0.001750367,0.5627933],"genre_scores_gemma":[0.9849889,0.0000115818,0.0006919908,0.000008930448,0.0000407179,0.0006502778,0.00003102221,0.00002609895,0.0135505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5966842,"threshold_uncertainty_score":0.3249928,"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."}}