{"id":"W2094448402","doi":"10.1016/s0015-1882(05)70624-8","title":"Electrets and filtration: Lab testing and field performance head to head","year":2005,"lang":"en","type":"article","venue":"Filtration & Separation","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"ASHRAE 90.1; Filtration (mathematics); Electret; Head (geology); Air filtration; Environmental science; Engineering; Process engineering; Materials science; Environmental engineering; Composite material; Physics; Mathematics; Indoor air quality; Meteorology; Statistics","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":[0.0001683828,0.0001789972,0.0001395164,0.00009614188,0.000206933,0.0001641849,0.0000478767,0.00009544244,0.00009316244],"category_scores_gemma":[0.000135198,0.0001998874,0.0000145593,0.0002864992,0.00001577983,0.0009051414,0.00000825931,0.0001400975,0.00007195048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005974913,"about_ca_system_score_gemma":0.00003189286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211606,"about_ca_topic_score_gemma":0.0003584888,"domain_scores_codex":[0.9989877,0.00003177793,0.0003353553,0.0002372232,0.0001744988,0.0002334846],"domain_scores_gemma":[0.9994617,0.0001516616,0.00004836684,0.0001294897,0.00009685505,0.0001119741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000157117,0.0000769805,0.009867146,0.0002031716,0.00005087314,0.000001125408,0.006919873,0.07105368,0.5950105,0.002755373,0.03138548,0.2825187],"study_design_scores_gemma":[0.000803469,0.0009056921,0.0613845,0.00008227668,0.00002777177,0.00006172495,0.00008122894,0.7568873,0.1661001,0.0002660772,0.01278479,0.0006150883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546406,0.0001511355,0.0367079,0.001562302,0.0001224637,0.0004136423,0.000006326276,0.0003143121,0.006081328],"genre_scores_gemma":[0.9876254,0.00007954431,0.01077451,0.0006546007,0.000235894,0.00007423434,0.00008347255,0.00002076327,0.000451599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6858336,"threshold_uncertainty_score":0.8151172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058956700209586,"score_gpt":0.2745748345481067,"score_spread":0.2539852675460109,"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."}}