{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001082859,0.0001528017,0.0002250515,0.0001084898,0.00006326754,0.00003504496,0.000163946,0.000074127,0.0005256009],"category_scores_gemma":[0.00004597487,0.0001224192,0.00007944904,0.0000577015,0.00005083025,0.0001093068,0.00004007819,0.0001063316,0.000008505978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002355038,"about_ca_system_score_gemma":0.00001630068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006834958,"about_ca_topic_score_gemma":0.00007174685,"domain_scores_codex":[0.9990204,0.00000757323,0.000451429,0.0001872135,0.0001849416,0.0001484346],"domain_scores_gemma":[0.9994442,0.00004937686,0.00005334915,0.0001099504,0.0002720261,0.00007107171],"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":[0.0001122804,0.0002470828,0.0005635985,0.0003460709,0.0003521785,0.000002704296,0.003753282,0.6394557,0.0187252,0.009809603,0.03088791,0.2957444],"study_design_scores_gemma":[0.0004948461,0.000007794975,0.00003703991,0.00006328282,0.00002496051,0.000002709723,0.00003810972,0.9763246,0.005336225,0.001476178,0.01604587,0.0001483318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1403408,0.0003768222,0.8512803,0.0005331391,0.000611453,0.0002218807,0.0001224992,0.0001032502,0.006409884],"genre_scores_gemma":[0.9622903,0.0001563358,0.03505002,0.00005075041,0.0001222776,0.00002290133,0.00008412106,0.00001042742,0.00221291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8219495,"threshold_uncertainty_score":0.5754961,"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."}}