{"id":"W2031060392","doi":"10.1115/ipc2002-27114","title":"Development of Two-Fluid Flow Model for Pipeline Decompression","year":2002,"lang":"en","type":"article","venue":"4th International Pipeline Conference, Parts A and B","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pipeline (software); Pipeline transport; Flashing; Flow (mathematics); Closure (psychology); Multiphase flow; Mechanics; Fluid dynamics; Two-phase flow; Petroleum engineering; Mechanical engineering; Engineering; Physics; Materials science","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":[0.0003819679,0.0008083262,0.00100959,0.0006247649,0.0007873095,0.001001359,0.001527726,0.002296104,0.002017118],"category_scores_gemma":[0.0008664696,0.0003976774,0.0009177623,0.0006147411,0.0008738955,0.001180273,0.0009027275,0.001236841,0.0004850867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045484,"about_ca_system_score_gemma":0.001635446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282115,"about_ca_topic_score_gemma":0.004208404,"domain_scores_codex":[0.9998139,0.00004290813,0.00001164929,0.00003997723,0.00006933179,0.00002229357],"domain_scores_gemma":[0.9998099,0.00006440916,0.00002860962,0.00001271,0.00006514038,0.00001918743],"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":[0.00001520185,0.00002467928,0.0002106444,0.00004264255,0.000005468989,0.0001058176,0.00005929541,0.9607651,0.003147299,0.03133869,0.0005563133,0.003728928],"study_design_scores_gemma":[0.000002504413,0.000003546964,0.00001481659,0.000001330233,8.004471e-7,0.00000583924,0.000002047951,0.9985068,0.0001240624,0.000959078,0.0003761689,0.000002937106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01310565,0.0003599708,0.976411,0.0003039355,0.00009790665,0.0001249264,0.00017837,0.0003373893,0.009080789],"genre_scores_gemma":[0.7460052,0.001563248,0.2229888,0.0002001347,0.0001978142,0.001329333,0.0007221643,0.0002423644,0.02675086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01282115,"threshold_uncertainty_score":0.02549309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875111783529027,"score_gpt":0.2772995474261493,"score_spread":0.2285484295908591,"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."}}