{"id":"W2955366318","doi":"","title":"Modelling Particle Sedimentation in Oil Pipelines","year":2018,"lang":"en","type":"article","venue":"CORROSION","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Energy Regulator; Nova Chemicals (Canada)","funders":"","keywords":"Pipeline transport; Sedimentation; Petroleum engineering; Particle (ecology); Environmental science; Geology; Environmental engineering; Oceanography; Sediment","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":[0.0004680128,0.0009893153,0.001182586,0.0006385986,0.0006888624,0.001527644,0.001426631,0.003632238,0.001195715],"category_scores_gemma":[0.002102413,0.0009025021,0.001159781,0.00060912,0.0009827282,0.000846782,0.0009337176,0.001095751,0.0002753043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156346,"about_ca_system_score_gemma":0.001739288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07648352,"about_ca_topic_score_gemma":0.02314335,"domain_scores_codex":[0.9997725,0.00004304361,0.00001814326,0.00004978687,0.00005681995,0.00005974116],"domain_scores_gemma":[0.9993149,0.0003585143,0.00008039872,0.00003918945,0.000137542,0.00006934327],"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":[0.0000290117,0.00002322081,0.0008869719,0.00002537454,0.00001406963,0.00005466503,0.00001947397,0.9953796,0.001194757,0.0008011175,0.0001119525,0.00145977],"study_design_scores_gemma":[0.000007350009,0.000009310957,0.0002067272,0.000001475039,0.000003554493,0.000006495008,0.00000626277,0.9991844,0.0002832738,0.0001886773,0.00009864214,0.000003789675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7769226,0.001353679,0.2074867,0.0009981702,0.0002823519,0.0001394536,0.0005554006,0.0006922113,0.0115694],"genre_scores_gemma":[0.9852396,0.0003890218,0.008946085,0.00003596956,0.00003989293,0.00003700777,0.0001819253,0.00007131624,0.005059103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07648352,"threshold_uncertainty_score":0.1520767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02369413202318275,"score_gpt":0.2695297645559022,"score_spread":0.2458356325327194,"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."}}