{"id":"W1998885828","doi":"10.1115/ipc2008-64065","title":"SmartBall™: A New Approach in Pipeline Leak Detection","year":2008,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pure North","funders":"","keywords":"Pipeline transport; Pipeline (software); Leak; Hazardous waste; Leak detection; Line (geometry); Computer science; Engineering; Waste management; Mechanical 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":[],"consensus_categories":[],"category_scores_codex":[0.00003668373,0.00005410502,0.0000665256,0.00006254487,0.0000141086,0.000006919387,0.00002990925,0.00004322692,0.00003391298],"category_scores_gemma":[0.00000240888,0.00004899725,0.00001429833,0.0001312036,0.000002984884,0.0001144266,0.000004836724,0.0000469384,0.00005698991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002779019,"about_ca_system_score_gemma":0.000004700493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002963717,"about_ca_topic_score_gemma":0.00166225,"domain_scores_codex":[0.9996739,0.000005757849,0.0001134188,0.00007156464,0.00004692973,0.00008843082],"domain_scores_gemma":[0.9998819,0.000002591916,0.000005604118,0.00007378012,0.000006875573,0.00002927456],"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":[0.000003119071,0.00001287031,0.0007709976,0.00002157745,0.000003624951,0.000003036008,0.0003681769,0.9822389,0.0004327066,0.0000500099,0.01441226,0.001682678],"study_design_scores_gemma":[0.000299369,0.000005694189,0.002240433,0.000004320092,0.000001226292,0.00002725101,0.00002198105,0.9886647,0.002100044,0.000009682527,0.00653408,0.00009114527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02616019,0.00005136165,0.9072536,0.00001515198,0.0001740798,0.00009539948,1.784334e-7,0.0002326371,0.06601746],"genre_scores_gemma":[0.9858532,0.00001635237,0.002804799,0.00001321502,0.0001071526,0.000005440127,0.000003961904,0.00001181678,0.01118409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.959693,"threshold_uncertainty_score":0.199805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691611406211225,"score_gpt":0.1732986557679287,"score_spread":0.1563825417058164,"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."}}