{"id":"W2057766874","doi":"10.1002/aic.690490218","title":"Fines deposition dynamics in gas–liquid trickle‐flow reactors","year":2003,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Trickle-bed reactor; TRICKLE; Pressure drop; Oil sands; Superficial velocity; Porosity; Chemistry; Volumetric flow rate; Filtration (mathematics); Multiphase flow; Flow (mathematics); Mechanics; Petroleum engineering; Materials science; Asphalt; Catalysis; Composite material; Geology","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":[0.0003008622,0.000137585,0.0001561551,0.0002162619,0.00003833305,0.0000415956,0.0001054068,0.0001205601,0.00005899758],"category_scores_gemma":[0.0001246907,0.0001365236,0.00006770234,0.0002741718,0.00001103715,0.0002864258,0.000007223915,0.0004846422,0.00001314072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437687,"about_ca_system_score_gemma":0.00002535924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007829931,"about_ca_topic_score_gemma":0.0001391641,"domain_scores_codex":[0.9991543,0.00005300594,0.0002990325,0.00008913271,0.0001473517,0.0002572281],"domain_scores_gemma":[0.9996549,0.00005815206,0.00005193845,0.0001210093,0.00003967776,0.00007430169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004934357,0.000751501,0.0415247,0.0005079272,0.0004897323,0.001546639,0.002121917,0.1381758,0.4166929,0.006215889,0.0376993,0.3537803],"study_design_scores_gemma":[0.002060621,0.0008195415,0.004813319,0.0007079159,0.00007852951,0.002679993,0.0003774565,0.1835032,0.781014,0.0117677,0.01065153,0.001526198],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090843,0.0005816887,0.06947208,0.00006449982,0.0005557954,0.00008481052,0.000003421487,0.0002562533,0.01989715],"genre_scores_gemma":[0.9792014,0.001231189,0.01931291,0.00004460141,0.00008336584,0.000007785928,0.00000478875,0.00004174849,0.00007224243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3643211,"threshold_uncertainty_score":0.5567272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005099524152335057,"score_gpt":0.2083742620332484,"score_spread":0.2032747378809133,"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."}}