{"id":"W4400958011","doi":"10.1038/s41598-024-67809-w","title":"Relating the ultrasonic and aerosol filtration properties of filters","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Agencia Estatal de Investigación; European Commission; Key Digital Technologies Joint Undertaking; National Research Council Canada; Public Health Agency; Consejo Superior de Investigaciones Científicas; Public Health Agency of Canada","keywords":"Aerosol; Filtration (mathematics); Ultrasonic sensor; Chromatography; Environmental science; Materials science; Chemistry; Acoustics; Mathematics; Physics; Statistics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005026787,0.0000645831,0.00006171282,0.00004368367,0.0001221183,0.0002380619,0.00003317543,0.00002619455,0.00002073019],"category_scores_gemma":[0.00008651451,0.00004392693,0.00002496701,0.0002259202,0.0001111736,0.0002502914,0.000006194302,0.00008139336,0.000004996654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000182793,"about_ca_system_score_gemma":0.00003576521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004631287,"about_ca_topic_score_gemma":0.00001046712,"domain_scores_codex":[0.9992716,0.00001630466,0.000262981,0.0001683384,0.0001718215,0.000108904],"domain_scores_gemma":[0.9996974,0.00003620364,0.00003562167,0.0001745504,0.00003414081,0.000022059],"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":[9.52928e-7,0.000002825828,0.00009463626,0.0001193464,0.00001458783,0.000004737693,0.003946024,0.003053342,0.984456,0.0002805247,0.00541997,0.002607024],"study_design_scores_gemma":[0.00003978263,0.0000229311,0.000264607,0.0002253117,0.00002439423,0.0001491585,0.0005302398,0.09371354,0.9010797,0.001832543,0.001977106,0.0001406607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990589,0.001672886,0.002962379,0.000171857,0.002686974,0.000206856,0.000001091329,0.0001927262,0.001516202],"genre_scores_gemma":[0.9990658,0.00001789908,0.0001872949,0.000006669424,0.00002231107,0.00001633367,0.00001199691,0.000009784978,0.000661879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0906602,"threshold_uncertainty_score":0.2295637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136091704997029,"score_gpt":0.2106927722581929,"score_spread":0.19708360175849,"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."}}