{"id":"W2107874858","doi":"10.1080/02786820802220266","title":"Turbulent Modeling of the Production of Ultra Fine Aluminum Particles: Scale-Up","year":2008,"lang":"en","type":"article","venue":"Aerosol Science and Technology","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Turbulence; Laminar flow; Residence time (fluid dynamics); Mechanics; Reynolds number; Particle (ecology); Nucleation; Supersaturation; Particle size; Materials science; Laminar flow reactor; Flow (mathematics); Residence time distribution; Thermodynamics; Chemistry; Chemical engineering; Open-channel flow; Physics; Engineering","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":[0.0001864404,0.0000462827,0.00007900715,0.00004127544,0.0002532212,0.000002295456,0.0001580363,0.00002950943,0.0000220342],"category_scores_gemma":[0.0001444485,0.00003118562,0.00001389467,0.0009430134,0.002351526,0.0001171946,0.0001259349,0.00004319817,0.000004622224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001966571,"about_ca_system_score_gemma":0.00001649283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004436133,"about_ca_topic_score_gemma":0.00004604441,"domain_scores_codex":[0.9992715,0.000006576357,0.0001537533,0.0001799532,0.0002711492,0.0001171182],"domain_scores_gemma":[0.9996589,0.000007616549,0.00006863876,0.0001985693,0.00004877993,0.00001748072],"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":[0.000004359783,0.00004809533,0.3195521,0.000004293591,0.00000275958,2.086182e-7,0.001085173,0.004314241,0.669463,0.0003703014,0.0002019047,0.004953593],"study_design_scores_gemma":[0.0002358705,0.00006159378,0.09771418,0.00002376709,0.00001161835,0.0000603933,0.0007911098,0.04467387,0.8552102,0.0009468987,0.0001389628,0.0001314961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970325,0.00003229836,0.0001220363,0.002390263,0.00007405837,0.0001033712,3.244767e-7,0.00001905049,0.0002261481],"genre_scores_gemma":[0.9996221,0.00002749752,0.0002217064,0.00002267439,0.000004089376,0.000005096567,6.645445e-8,0.00000150807,0.00009525244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218379,"threshold_uncertainty_score":0.8664294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176143259833279,"score_gpt":0.2322101459805461,"score_spread":0.2104487133822133,"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."}}