{"id":"W4390679114","doi":"10.46254/ev01.20230117","title":"Municipal Water Pipeline Leak Detection System","year":2023,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Leak detection; Pipeline (software); Leak; Computer science; Pipeline transport; Computer security; Environmental science; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009356809,0.00006269955,0.00007018605,0.00007820744,0.00003429359,0.00002427763,0.00004137451,0.00004590742,0.00002729262],"category_scores_gemma":[0.000001137732,0.00004308598,0.00002204086,0.0001127369,0.000002656038,0.00007114076,0.00001460061,0.00003603266,0.001170133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003274317,"about_ca_system_score_gemma":5.01964e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009206719,"about_ca_topic_score_gemma":0.0009874869,"domain_scores_codex":[0.999584,0.000008694002,0.000127281,0.00006815112,0.00006234803,0.0001494972],"domain_scores_gemma":[0.9998406,0.000003646847,0.000004109731,0.0001113234,0.00001495626,0.00002534393],"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":[0.000001802108,0.000001636634,0.00002890691,0.0001495197,0.00001124434,0.000005497953,0.0005892603,0.9841366,0.01045141,0.00005953301,0.004084743,0.0004798581],"study_design_scores_gemma":[0.00009946812,0.000005772542,0.00004685715,0.00001292556,0.000003633643,0.000005732004,0.000214768,0.925369,0.06313184,0.00000267982,0.01103251,0.00007483557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4494179,0.00004574177,0.4359612,0.00006944226,0.004144266,0.0003699815,0.000004611421,0.00945635,0.1005305],"genre_scores_gemma":[0.9900814,0.000003418166,0.00005564286,0.000003766508,0.0001528148,0.00001511276,0.00001833115,0.00002159184,0.009647964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5406634,"threshold_uncertainty_score":0.9996076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009554660773998195,"score_gpt":0.1791597500128367,"score_spread":0.1696050892388385,"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."}}