{"id":"W2142589553","doi":"10.1016/j.jaerosci.2008.04.008","title":"Morphology based particle segregation by electrostatic charge","year":2008,"lang":"en","type":"article","venue":"Journal of Aerosol Science","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Agglomerate; Particle (ecology); Soot; Fractal; Morphology (biology); Aerosol; Charge (physics); Chemical physics; Materials science; Electrostatics; Particle size; Nanotechnology; Electric charge; Flexibility (engineering); Chemical engineering; Biological system; Chemistry; Composite material; Physics; Meteorology; Engineering; Mathematics; Physical chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002457804,0.0002503232,0.0002624679,0.0002804761,0.0002675308,0.0004443156,0.0002675292,0.0003197384,0.001514391],"category_scores_gemma":[0.0004582618,0.0002334893,0.0001904629,0.0001964391,0.0003029304,0.000437289,0.0003020099,0.0003886433,0.0002329812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535734,"about_ca_system_score_gemma":0.0001288151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007750201,"about_ca_topic_score_gemma":0.0008820951,"domain_scores_codex":[0.9998404,0.00002176694,0.000008823049,0.0000345299,0.00006163304,0.00003280597],"domain_scores_gemma":[0.9998116,0.00007743964,0.00003144684,0.00001695605,0.00004657858,0.00001596035],"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":[0.000147823,0.00004720371,0.0003411263,0.00003455754,0.000009284489,0.00003888422,0.00004262015,0.0002316116,0.9960335,0.0003181888,0.00007831596,0.002676996],"study_design_scores_gemma":[0.00002460148,0.0001182158,0.001664514,0.000001901533,0.000007523938,0.00005060796,0.00001339204,0.002760162,0.994939,0.00005791329,0.0003572257,0.000005093039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962959,0.0003957659,0.001875853,0.00005946368,0.00002232652,0.00002675309,0.00003606132,0.00002322441,0.001264685],"genre_scores_gemma":[0.9975502,0.0002199692,0.000888099,0.00003300418,0.000007825174,0.000011168,0.00003889429,0.00001053879,0.001240295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001514391,"threshold_uncertainty_score":0.005066216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829848481162684,"score_gpt":0.2514693955564722,"score_spread":0.2331709107448453,"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."}}