{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278959,0.001584447,0.001225063,0.003617374,0.0008407904,0.002350218,0.002449077,0.002351799,0.005185121],"category_scores_gemma":[0.00284361,0.0009492066,0.00119131,0.002626644,0.001856652,0.004920252,0.002633408,0.002198547,0.004458305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383693,"about_ca_system_score_gemma":0.001026294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002649413,"about_ca_topic_score_gemma":0.002008677,"domain_scores_codex":[0.9968494,0.0003277985,0.0001196557,0.0007808884,0.001719802,0.0002025431],"domain_scores_gemma":[0.9984237,0.0002669255,0.0001662539,0.0002597785,0.0007718666,0.0001114942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000327986,0.0001463549,0.002986592,0.0005811872,0.00009434066,0.0003854129,0.0004610319,0.006822896,0.08873938,0.04625748,0.01965381,0.8335435],"study_design_scores_gemma":[0.00009979225,0.00114966,0.005435482,0.0004700401,0.0002736143,0.005535224,0.0008313536,0.2960779,0.1157556,0.06883322,0.5049424,0.0005956541],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006109497,0.003990577,0.9687773,0.001537794,0.0008687222,0.0001608337,0.0001993774,0.004264486,0.01409144],"genre_scores_gemma":[0.1378984,0.009218687,0.8076754,0.002316581,0.001073146,0.0003045521,0.0007369145,0.0006670328,0.04010922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005185121,"threshold_uncertainty_score":0.01734596,"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."}}