{"id":"W2765723977","doi":"10.1016/j.petrol.2017.10.059","title":"Application of phased antenna arrays for pipeline leak detection","year":2017,"lang":"en","type":"article","venue":"Journal of Petroleum Science and Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"Tomsk Polytechnic University","keywords":"Phased array; Pipeline (software); Antenna (radio); Acoustics; Antenna array; Electronic engineering; Pipeline transport; Sensor array; Transducer; Leak; Signal processing; Phased-array optics; SIGNAL (programming language); Underwater; Engineering; Computer science; Electrical engineering; Digital signal processing; Physics; Geology","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":[0.0005456521,0.00005935673,0.000126054,0.0001682513,0.0001007766,0.00006791609,0.0001567621,0.00002468395,2.850209e-7],"category_scores_gemma":[0.00009579051,0.00005141012,0.00003026546,0.0000657748,0.00003468959,0.0005064522,0.000007182919,0.00005399498,1.615236e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003467072,"about_ca_system_score_gemma":0.00001337637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004958219,"about_ca_topic_score_gemma":0.00001765688,"domain_scores_codex":[0.999452,0.00000130825,0.000222588,0.00005903961,0.0001549444,0.0001100969],"domain_scores_gemma":[0.9995055,0.00001120469,0.0001361766,0.0001108786,0.0001845442,0.00005166683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006110537,0.000004295859,0.0001288186,0.00006731255,0.00000491985,2.480964e-7,0.00005139857,0.308828,0.6882395,0.00003168239,0.00001432607,0.002623435],"study_design_scores_gemma":[0.0003098997,0.00005310892,0.00176988,0.000041024,0.00000961356,0.0000185718,0.00002311771,0.9365454,0.06004249,0.000009851512,0.001121609,0.00005546866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1045079,0.000113725,0.8948129,0.00002408688,0.0004118074,0.00004076029,0.000001318447,0.00001280294,0.00007470955],"genre_scores_gemma":[0.9973692,0.00003144507,0.002389244,0.000001276622,0.0001861723,0.00000280445,1.622341e-7,0.000007713335,0.00001203426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8928612,"threshold_uncertainty_score":0.2096444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007941408565402958,"score_gpt":0.2143467090639995,"score_spread":0.2064053004985966,"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."}}