{"id":"W2321680497","doi":"10.1021/ef401315m","title":"Modeling of Solids Deposition from “Waxy” Mixtures in “Hot Flow” and “Cold Flow” Regimes in a Pipeline Operating under Turbulent Flow","year":2013,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Turbulence; Flow (mathematics); Wax; Mechanics; Materials science; Deposition (geology); Isothermal flow; Thermodynamics; Volumetric flow rate; Reynolds number; Two-phase flow; Open-channel flow; Geology; Composite material; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002320198,0.0005173259,0.0004852201,0.0002805334,0.0005121244,0.0006359199,0.0005272846,0.0009776447,0.0006567595],"category_scores_gemma":[0.000347554,0.0004071631,0.0007052419,0.0002557395,0.000451976,0.0004763907,0.0003835056,0.0004463228,0.0001411028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008592264,"about_ca_system_score_gemma":0.001011375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0156699,"about_ca_topic_score_gemma":0.006411526,"domain_scores_codex":[0.999892,0.00001595127,0.000007625293,0.00002715898,0.00002807138,0.00002915173],"domain_scores_gemma":[0.9998666,0.00006287109,0.00002853913,0.000006779278,0.00002401456,0.00001125102],"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":[0.00005656619,0.00003607137,0.001739442,0.00005735772,0.000007813042,0.0001283014,0.00004205628,0.9680858,0.02750365,0.0007398016,0.00006532597,0.001537799],"study_design_scores_gemma":[0.000004133551,0.00002573331,0.0003927765,0.000001758154,0.000003128842,0.00001066549,0.000009766454,0.9963248,0.003092239,0.00006469971,0.00006611482,0.000004122533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9404024,0.0002354635,0.05512496,0.0001233726,0.00002012777,0.00006510896,0.000232204,0.0001580071,0.003638213],"genre_scores_gemma":[0.9918053,0.0001902622,0.005600667,0.00000900337,0.000003729454,0.00006025351,0.000102856,0.00001748324,0.002210356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0156699,"threshold_uncertainty_score":0.03115743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009222145237244163,"score_gpt":0.2197415664865918,"score_spread":0.2105194212493476,"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."}}