{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001089865,0.0002153105,0.0003792506,0.000140265,0.00006597698,0.00009115344,0.0001433017,0.0001822645,0.000147005],"category_scores_gemma":[0.00003604625,0.0002002484,0.0000752196,0.0001785447,0.00003190141,0.0002085711,0.0000581885,0.0002017723,0.000001942529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006132972,"about_ca_system_score_gemma":0.00004494546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005985022,"about_ca_topic_score_gemma":0.0007169004,"domain_scores_codex":[0.9985859,0.00004292008,0.0004942102,0.0003918732,0.0002106547,0.0002744574],"domain_scores_gemma":[0.9994816,0.00005506763,0.00008288568,0.0002372478,0.00006709254,0.00007608101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000184329,0.00008316644,0.0002407823,0.00005302823,0.00003699032,0.000009741218,0.0003824805,0.3386415,0.6504481,0.00001698238,0.00003618092,0.01003255],"study_design_scores_gemma":[0.0005160323,0.000006621246,0.00002790562,0.0003289164,0.00002776225,0.000002338479,0.0002261051,0.7344044,0.2639524,0.000321019,0.00001935929,0.0001671198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819428,0.003613246,0.01294052,0.0002525374,0.00002221864,0.00000947951,0.000009905755,0.00003627318,0.001173052],"genre_scores_gemma":[0.9895695,0.0002222628,0.008700583,0.000212544,0.0001612529,0.00003501797,0.00009477403,0.00002627163,0.000977801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3957629,"threshold_uncertainty_score":0.9047603,"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."}}