{"id":"W2019156765","doi":"10.4043/25729-ms","title":"Multiphase Flow Modeling for Gas Hydrates in Flow Assurance","year":2015,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Flow assurance; Multiphase flow; Slug flow; Petroleum engineering; Slugging; Flow (mathematics); Subsea; Clathrate hydrate; Two-phase flow; Mechanics; Hydrate; Geology; Thermodynamics; Environmental science; Geotechnical engineering; Chemistry; 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":[0.0004074239,0.000234049,0.0003092587,0.0001478608,0.00007511855,0.00002543695,0.0005109055,0.0003555703,0.0002524471],"category_scores_gemma":[0.0002536339,0.0002047716,0.00004587202,0.0005108192,0.0002744556,0.0001707206,0.0001918431,0.0003511633,0.0002304875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001256807,"about_ca_system_score_gemma":0.00005719118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009351185,"about_ca_topic_score_gemma":0.0004360766,"domain_scores_codex":[0.9983846,0.00003635293,0.0003359444,0.0005385519,0.0001846791,0.000519871],"domain_scores_gemma":[0.9992695,0.00005556484,0.00007887655,0.0004185485,0.00004458911,0.0001329442],"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":[0.0001911322,0.0003158656,0.02339242,0.00002983272,0.00003571531,0.00005482497,0.001109926,0.8489222,0.013085,0.002148965,0.001582122,0.109132],"study_design_scores_gemma":[0.001106868,0.0001299587,0.00003748155,0.00004023007,0.00001070054,0.00001057648,0.0002528015,0.960184,0.003063884,0.03307033,0.001823968,0.000269163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8893803,0.0004962491,0.09666685,0.003230557,0.0003383185,0.0008388287,0.00002481377,0.0003309114,0.008693185],"genre_scores_gemma":[0.9382415,0.00006945805,0.06109144,0.00008218674,0.00001973202,0.0001380432,0.00001973804,0.00002172019,0.0003161519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112618,"threshold_uncertainty_score":0.8350343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336449629724269,"score_gpt":0.2559063549033601,"score_spread":0.2222613919309332,"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."}}