{"id":"W1964546519","doi":"10.1016/j.jhazmat.2012.02.058","title":"Impact of two particle measurement techniques on the determination of N95 class respirator filtration performance against ultrafine particles","year":2012,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail; Université de Montréal; Concordia University","funders":"National Institute for Occupational Safety and Health; Concordia University; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Respirator; Scanning mobility particle sizer; Ultrafine particle; Particle size; Materials science; Aerosol; Electrical mobility; Particle-size distribution; Aerodynamic diameter; Particle (ecology); Particle counter; Condensation particle counter; Penetration (warfare); Particle number; Composite material; Analytical Chemistry (journal); Nanotechnology; Chemistry; Chromatography; Mathematics; Volume (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":[0.006323958,0.0009945153,0.0007206735,0.0009155859,0.0007641285,0.001544963,0.00104773,0.002084277,0.000393199],"category_scores_gemma":[0.01267093,0.0007895319,0.0007014527,0.000532052,0.001016908,0.0009192015,0.0008673749,0.0009492197,0.0003415991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006279534,"about_ca_system_score_gemma":0.0008342377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00263243,"about_ca_topic_score_gemma":0.004585968,"domain_scores_codex":[0.9922428,0.001979539,0.0005851951,0.001141505,0.003721062,0.0003299435],"domain_scores_gemma":[0.986288,0.009622606,0.001082094,0.0008384669,0.001986379,0.0001824996],"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":[0.001147646,0.0001644035,0.01308618,0.0001955876,0.0001083761,0.00005853034,0.0002557441,0.0002888023,0.968832,0.0001185629,0.0001146195,0.01562967],"study_design_scores_gemma":[0.00002917928,0.0009814387,0.01714388,0.00002138382,0.0001389742,0.0002913433,0.0000708708,0.002091882,0.9782757,0.00004701792,0.0008792388,0.00002912379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9343469,0.003072733,0.06023867,0.0003831577,0.0002588997,0.0001779302,0.0002085771,0.0003003232,0.001012928],"genre_scores_gemma":[0.9189219,0.001834423,0.07656766,0.0006199974,0.0001112634,0.000164378,0.0003528156,0.0001289103,0.001298483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006323958,"threshold_uncertainty_score":0.0334447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214291142290983,"score_gpt":0.2745410858421211,"score_spread":0.2423981744192112,"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."}}