{"id":"W2144718734","doi":"10.1002/cjce.20507","title":"Modelling asphaltene deposition in turbulent pipeline flows","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schlumberger (Canada)","funders":"","keywords":"Couette flow; Deposition (geology); Asphaltene; Mechanics; Turbulence; Particle (ecology); Pipeline transport; Multiphase flow; Asphalt; Materials science; Flow (mathematics); Petroleum engineering; Physics; Engineering; Geology; Mechanical engineering; Composite material; Chemical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000168104,0.00009635774,0.000159401,0.0001108614,0.00003221283,0.00002528422,0.0002259147,0.00006957618,0.00009406191],"category_scores_gemma":[0.00004200178,0.00007570457,0.00008653205,0.0001311934,0.00001682922,0.00007138847,0.000005397311,0.0003903394,0.000001838472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726689,"about_ca_system_score_gemma":0.0001421329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002837655,"about_ca_topic_score_gemma":0.0002182236,"domain_scores_codex":[0.9992727,0.000003900903,0.0003022756,0.00007084275,0.0001183652,0.0002318922],"domain_scores_gemma":[0.9994938,0.00001932924,0.00007969759,0.00009828139,0.00005889171,0.000249992],"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":[0.00002060038,0.00001985959,0.0001128557,0.0000686803,0.00005346058,0.0002325613,0.0007718308,0.7135645,0.2824687,0.00004340781,0.00003271005,0.002610761],"study_design_scores_gemma":[0.000193129,0.000003287751,0.000001672053,0.0001981783,0.00003943632,0.0001627723,0.0000147414,0.7398285,0.2592442,0.00006804679,0.0001465869,0.00009947406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991908,0.001050723,0.005805775,0.0001787287,0.00003552844,0.00000299679,0.000001331515,0.000009481184,0.001007392],"genre_scores_gemma":[0.9979245,0.000005385784,0.001799911,0.0000293359,0.0001695269,9.408616e-7,0.00000173472,0.00001430578,0.00005435347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02626396,"threshold_uncertainty_score":0.4289705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416182928303783,"score_gpt":0.1831609601826918,"score_spread":0.168999130899654,"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."}}