{"id":"W4392499133","doi":"10.2166/wst.2024.072","title":"Particle separator with vortex claw: an efficient and new technology","year":2024,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Particle Dynamics in Fluid Flows","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Separator (oil production); Settling; Inflow; Mechanics; Vortex; Turbulence; Particle (ecology); Particle size; Environmental science; Marine engineering; Materials science; Aerospace engineering; Physics; Engineering; Geology; Environmental engineering; Chemical engineering; Thermodynamics","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":[0.000679873,0.0004849965,0.0007330295,0.001234843,0.0004934617,0.0009926065,0.0008805383,0.0009216606,0.0007308972],"category_scores_gemma":[0.0004576218,0.0003602796,0.0005173233,0.0008185796,0.0006484662,0.001895969,0.0006648442,0.0007948815,0.0004894644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609636,"about_ca_system_score_gemma":0.0008790963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004317482,"about_ca_topic_score_gemma":0.0006598422,"domain_scores_codex":[0.999346,0.00007419244,0.00004836886,0.0001285025,0.0003519892,0.00005092334],"domain_scores_gemma":[0.9997229,0.00005148536,0.00008476723,0.00002917511,0.00007838588,0.00003330399],"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":[0.0002232442,0.0001310846,0.001877802,0.001128568,0.00006247769,0.0002885093,0.0002220028,0.003116796,0.7397763,0.01100745,0.001697375,0.2404684],"study_design_scores_gemma":[0.0001347582,0.001611748,0.002006298,0.0001155812,0.0001378632,0.001096838,0.0001187571,0.06100461,0.8171927,0.00342266,0.1130392,0.0001189797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1585537,0.0344396,0.7954903,0.001501787,0.0007239901,0.0002903398,0.0001548048,0.001423716,0.007421886],"genre_scores_gemma":[0.5221956,0.01614088,0.4481888,0.0006471692,0.0004427724,0.0002954517,0.0003644669,0.0001470828,0.01157773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001234843,"threshold_uncertainty_score":0.004070163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00730269814706704,"score_gpt":0.2313626504606636,"score_spread":0.2240599523135965,"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."}}