{"id":"W2744967713","doi":"10.1061/9780784480885.024","title":"Precision Tracking of Pressure Events: “What’s Going on in My Transmission Pipeline Loop?”","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Loop (graph theory); Pipeline (software); Tracking (education); Transmission (telecommunications); Transient (computer programming); Transmission network; Sample (material); Pipeline transport; Jurisdiction; Computer science; Engineering; Real-time computing; Environmental science; 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":[0.0002689393,0.0002459942,0.000350769,0.0001443976,0.0001140318,0.00009914231,0.0005282935,0.0002133868,0.00002918923],"category_scores_gemma":[0.0002429396,0.0002141474,0.0001099319,0.00005887255,0.00003451131,0.0004753373,0.00004100953,0.0003579044,0.00001147112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002225356,"about_ca_system_score_gemma":0.00001144281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000328208,"about_ca_topic_score_gemma":0.00001337064,"domain_scores_codex":[0.9987226,0.00001931999,0.0004412874,0.0002551799,0.0002674995,0.0002941052],"domain_scores_gemma":[0.9989613,0.00009010352,0.000103309,0.0007091911,0.00005152405,0.00008454279],"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":[0.00008727483,0.00007463682,0.0003705319,0.0004338727,0.00002751233,0.00001280945,0.0001977907,0.6634614,0.01879181,0.0001758751,0.001108647,0.3152579],"study_design_scores_gemma":[0.002201702,0.0001080567,0.04935799,0.003075445,0.0000714389,0.0000180178,0.00006582101,0.8845474,0.02452978,0.002924732,0.03230351,0.0007961594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7447048,0.01686856,0.2183557,0.001501188,0.005258556,0.00130158,0.00005717297,0.001237584,0.01071478],"genre_scores_gemma":[0.997063,0.001136931,0.0008700554,0.00001172026,0.0001690819,0.000008269845,0.000008573162,0.00004248689,0.0006899158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3144617,"threshold_uncertainty_score":0.8732677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01846203288419948,"score_gpt":0.2641490498799673,"score_spread":0.2456870169957678,"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."}}