{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384385,0.000173761,0.0002476987,0.0001016835,0.0002071365,0.0002474518,0.00004618543,0.00006444653,0.00002117122],"category_scores_gemma":[0.0001518697,0.0001731108,0.00001318768,0.00009124588,0.00002342918,0.0005989725,0.000048923,0.0001027667,0.00000171165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002170543,"about_ca_system_score_gemma":0.00001646594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420282,"about_ca_topic_score_gemma":0.0000303378,"domain_scores_codex":[0.9990322,0.00002383955,0.0003435997,0.0002726052,0.0001187475,0.0002090004],"domain_scores_gemma":[0.9996922,0.0000254596,0.0000362414,0.00007265248,0.0000749445,0.0000984967],"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":[0.0003784735,0.0001458123,0.03384685,0.007276036,0.0001429083,0.00003996489,0.02705098,0.468166,0.1250335,0.00382188,0.00207594,0.3320217],"study_design_scores_gemma":[0.003536006,0.0002704268,0.004786264,0.001745,0.00007209158,0.0000670056,0.008144731,0.8688368,0.0615337,0.0006767663,0.04886884,0.001462364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9105275,0.05095757,0.02848792,0.005902922,0.001596943,0.0005170691,0.00002486721,0.0005203426,0.001464911],"genre_scores_gemma":[0.9384111,0.05867355,0.002380831,0.0001230562,0.0002498891,0.00005832616,0.00000452435,0.00002167643,0.00007700576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4006708,"threshold_uncertainty_score":0.7059252,"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."}}