{"id":"W3121716185","doi":"10.1115/ipc2020-9226","title":"Advances and Challenges in Purging Pipeline Sections: Field Measurements vs. 1D Purging Model","year":2020,"lang":"en","type":"article","venue":"Volume 3: Operations, Monitoring, and Maintenance; Materials and Joining","topic":"Combustion and Detonation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Purge; Flammable liquid; Inlet; Natural gas; Pipeline (software); Mechanics; Engineering; Petroleum engineering; Environmental science; Mechanical engineering; Waste management; Physics","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":[0.001200736,0.0005325886,0.000433936,0.0005958726,0.0003461189,0.00100917,0.0010983,0.001003581,0.001994202],"category_scores_gemma":[0.00165379,0.0003412493,0.0003295967,0.0006945719,0.0005742952,0.001436092,0.0004875756,0.001148904,0.0006208228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004783226,"about_ca_system_score_gemma":0.000416947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005891823,"about_ca_topic_score_gemma":0.00493997,"domain_scores_codex":[0.9995833,0.00008183466,0.00002692487,0.0000823352,0.0001924367,0.00003320246],"domain_scores_gemma":[0.9990434,0.0004436435,0.00005566296,0.0001491544,0.0002707643,0.0000373593],"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":[0.0004103005,0.0006465305,0.0288173,0.001682607,0.00004512709,0.0006838039,0.001148258,0.607258,0.150752,0.004698485,0.005938485,0.1979191],"study_design_scores_gemma":[0.00001717664,0.0003642883,0.007386681,0.00007695802,0.00001674491,0.0001685785,0.0003667595,0.940718,0.04217022,0.001458414,0.007195911,0.00006029351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7025988,0.002415611,0.273568,0.000809599,0.0001974234,0.0003195693,0.002110614,0.003862423,0.01411793],"genre_scores_gemma":[0.9657786,0.0009331068,0.03083048,0.00005801104,0.00001897779,0.00008261402,0.000568238,0.00008384373,0.00164596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005891823,"threshold_uncertainty_score":0.01171505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05849378838283784,"score_gpt":0.2504579113782133,"score_spread":0.1919641229953755,"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."}}