{"id":"W2114579592","doi":"10.1109/icmens.2005.4","title":"Generation and Recovery of Sub-Micron Diameter Fibrous Aerosols","year":2006,"lang":"en","type":"article","venue":"","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Dispersity; Aerosol; Deposition (geology); Streamlines, streaklines, and pathlines; Aerodynamic diameter; Materials science; Respiratory tract; Drug delivery; Aerodynamics; Nanotechnology; Biomedical engineering; Composite material; Respiratory system; Meteorology; Medicine; Anatomy; Polymer chemistry; Geology; Physics; Mechanics","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":[0.0003494792,0.0003666464,0.0002471921,0.0004481885,0.0003278214,0.0002630941,0.0002866712,0.0004251356,0.001096301],"category_scores_gemma":[0.0004095292,0.0001809665,0.0003183277,0.0002102861,0.0001502535,0.0002436188,0.0003954193,0.0004059231,0.001000176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337067,"about_ca_system_score_gemma":0.0001652131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002042522,"about_ca_topic_score_gemma":0.0002710476,"domain_scores_codex":[0.99981,0.00001709266,0.00001621607,0.00004298865,0.0000810604,0.00003267935],"domain_scores_gemma":[0.9998332,0.00002893255,0.00004411341,0.00002665279,0.00004419898,0.0000228648],"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":[0.00003720294,0.0000237506,0.00009583547,0.00004508244,0.000002464764,0.00009400246,0.00002921621,0.0002359726,0.9881655,0.0001765032,0.00012241,0.01097202],"study_design_scores_gemma":[0.000008381674,0.0003173362,0.0006647495,0.000006141434,0.000005795029,0.0002047413,0.00001045782,0.001410252,0.9926475,0.0001069564,0.004610335,0.000007334111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7580335,0.004522329,0.2236826,0.0002638841,0.0003318891,0.0005259672,0.0006597163,0.0008603822,0.0111198],"genre_scores_gemma":[0.8971533,0.002400376,0.08859141,0.0001891219,0.00008474454,0.0002036212,0.000552046,0.0001644452,0.01066087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001096301,"threshold_uncertainty_score":0.003667533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009393129265717297,"score_gpt":0.1890228733567654,"score_spread":0.1796297440910481,"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."}}