{"id":"W2334291935","doi":"10.4043/27026-ms","title":"Pipeline Leak and Impact Detection System - PipeLIDS - Monitoring Product Dedicated to Onshore Pipelines","year":2016,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Pipeline transport; Noise (video); Pipeline (software); Beacon; Global Positioning System; Leak; Engineering; Leak detection; Real-time computing; Computer science; Marine engineering; Telecommunications; 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":[0.0001617592,0.0002765494,0.0003149465,0.0004708141,0.00008606919,0.00004761883,0.0002353424,0.0002569123,0.00001039328],"category_scores_gemma":[0.00009755976,0.0001927134,0.00003296109,0.0005087689,0.00008397346,0.0001716571,0.00008219717,0.0001669369,0.00005204037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558813,"about_ca_system_score_gemma":0.00002694948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003525972,"about_ca_topic_score_gemma":0.000187909,"domain_scores_codex":[0.9987138,0.00002154246,0.0003524815,0.0003960776,0.0001386379,0.0003774863],"domain_scores_gemma":[0.9991576,0.00002066831,0.00005368952,0.0004354293,0.0002124541,0.0001201455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008770199,0.0000487508,0.09299473,0.0005191176,0.0001664895,0.00004747492,0.0004712872,0.003610823,0.4930158,0.0009061219,0.005515632,0.4026161],"study_design_scores_gemma":[0.0011506,0.0003752149,0.0156546,0.001661075,0.00009591279,0.000384491,0.0006743366,0.04054014,0.9331769,0.0002240141,0.00486578,0.001196909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7033961,0.0005099158,0.2903992,0.0007948206,0.0008530273,0.0005363022,0.00002080091,0.002808686,0.0006811214],"genre_scores_gemma":[0.99813,0.00007314999,0.00103006,0.000002871328,0.0002330491,0.00008415979,0.000003753942,0.00004517898,0.0003978228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4401612,"threshold_uncertainty_score":0.7858626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135550131802483,"score_gpt":0.2234526043677636,"score_spread":0.2120971030497388,"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."}}