{"id":"W4413153635","doi":"10.1016/j.ces.2025.122408","title":"Influence of fine particle size on deposition during hydrotreating in a trickle-bed reactor","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Catalysis and Hydrodesulfurization Studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Hydrodesulfurization; Trickle-bed reactor; Particle deposition; Deposition (geology); TRICKLE; Particle (ecology); Environmental science; Chemical engineering; Materials science; Chemistry; Catalysis; Geology; Metallurgy; Engineering; Composite material; Computer science; Organic chemistry; Sediment; Sulfur","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":[0.0002725389,0.0002339542,0.0004112226,0.0001492298,0.000347875,0.0005389461,0.0002603557,0.0003224294,0.001339706],"category_scores_gemma":[0.0007592085,0.000236202,0.0002580665,0.0001277371,0.0002971264,0.0003707992,0.000224712,0.0004124009,0.0002644453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430911,"about_ca_system_score_gemma":0.000274495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002684296,"about_ca_topic_score_gemma":0.004230864,"domain_scores_codex":[0.999831,0.00001998655,0.00001446454,0.0000448322,0.00004676318,0.00004308108],"domain_scores_gemma":[0.9992703,0.0004566626,0.00007776863,0.00004170717,0.00009328231,0.00006034079],"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":[0.0007810027,0.00005444352,0.0006415421,0.00005501152,0.00001319019,0.00009165487,0.00007091751,0.0004303046,0.9955575,0.00002931925,0.00003987673,0.002235273],"study_design_scores_gemma":[0.00001667646,0.0004094651,0.004750863,0.000003110818,0.00001622362,0.0000307187,0.00005191614,0.001566907,0.9929253,0.00001501176,0.0002054689,0.000008273172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990554,0.0001309025,0.0002906725,0.00001468781,0.00001013186,0.000005216421,0.00003080371,0.00001221396,0.0004499397],"genre_scores_gemma":[0.9990643,0.000130771,0.0002571677,0.00001255802,0.000005276719,0.000003101094,0.00003392939,0.000009423541,0.0004835849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002684296,"threshold_uncertainty_score":0.005337358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004107232318190572,"score_gpt":0.2076172811388974,"score_spread":0.2035100488207068,"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."}}