{"id":"W4406421919","doi":"10.1080/15459624.2024.2447321","title":"Interlaboratory comparison of particle filtration efficiency testing equipment","year":2025,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Hygiene","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Filtration (mathematics); Environmental science; Particle (ecology); Environmental health; Medicine; Statistics; Mathematics; Biology","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":[0.03955567,0.001419457,0.0009215636,0.002469233,0.00139576,0.002891699,0.001977534,0.001815316,0.003091418],"category_scores_gemma":[0.05352882,0.000573852,0.001380639,0.001946181,0.00176771,0.001042455,0.003376447,0.001223425,0.001773213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214588,"about_ca_system_score_gemma":0.001583782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229332,"about_ca_topic_score_gemma":0.003093217,"domain_scores_codex":[0.9321645,0.02157247,0.0061432,0.01380032,0.0247978,0.001521659],"domain_scores_gemma":[0.9461727,0.01810352,0.003637783,0.01266674,0.01871233,0.0007069922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004589703,0.001897415,0.2242987,0.002304735,0.003048735,0.0004224486,0.006181223,0.01378739,0.5143328,0.004368167,0.008091004,0.2166776],"study_design_scores_gemma":[0.0001897103,0.006804307,0.3368717,0.0005067286,0.001326508,0.0009041241,0.001674516,0.01422463,0.5866801,0.003749099,0.04672481,0.0003437006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.674973,0.003328247,0.2896051,0.0008083238,0.001081504,0.002823859,0.006704014,0.003207542,0.01746834],"genre_scores_gemma":[0.8838036,0.0006757335,0.09704008,0.0008405149,0.0001922623,0.002166581,0.00882307,0.0007399822,0.005718222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03955567,"threshold_uncertainty_score":0.2091929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017701207771413,"score_gpt":0.2728116464329392,"score_spread":0.252634634355225,"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."}}