{"id":"W4392938636","doi":"10.1007/s41810-024-00220-0","title":"Optimization of the Air Cleaning Properties of Fog","year":2024,"lang":"en","type":"article","venue":"Aerosol Science and Engineering","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"FP7 Security; European Commission","keywords":"Nozzle; Aerosol; Environmental science; Atmospheric pressure; Materials science; Nuclear engineering; Meteorology; Aerospace engineering","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":[0.0001357625,0.0002835531,0.0002508469,0.0001741493,0.0001361305,0.0002487219,0.0002170354,0.0002063703,0.0005176688],"category_scores_gemma":[0.0001877494,0.000116482,0.000187592,0.0001104975,0.00008935743,0.0002106066,0.0002051318,0.0001236097,0.0001245198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897017,"about_ca_system_score_gemma":0.000135119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004589788,"about_ca_topic_score_gemma":0.0004982428,"domain_scores_codex":[0.9999146,0.000007743392,0.000005763342,0.00002291276,0.00003392228,0.00001503833],"domain_scores_gemma":[0.9999409,0.00001362363,0.00001317305,0.000006902314,0.00001881958,0.000006539101],"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":[0.00006163356,0.00002950937,0.0007260016,0.00008075976,0.000007359261,0.00002149107,0.00002014407,0.001440524,0.989197,0.00004618717,0.00006905825,0.008300401],"study_design_scores_gemma":[0.00001277088,0.0003449441,0.004855019,0.000004579677,0.00002080977,0.00003123496,0.00001076017,0.01458389,0.9786406,0.00002171228,0.001465072,0.000008638987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813331,0.0005315701,0.01648067,0.00002170559,0.00002664904,0.00005681967,0.0001077503,0.0002314612,0.001210214],"genre_scores_gemma":[0.9919074,0.0001761513,0.007195638,0.00001927462,0.000005425335,0.00002611447,0.00009086796,0.00002215157,0.0005570716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005176688,"threshold_uncertainty_score":0.001731753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01454446160779739,"score_gpt":0.1974795096779452,"score_spread":0.1829350480701478,"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."}}