{"id":"W4416463669","doi":"10.1016/j.buildenv.2025.113988","title":"Ten questions concerning indoor dust","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Toronto; University of Washington; U.S. Environmental Protection Agency; W. M. Keck Foundation; Queensland University of Technology; U.S. Department of Housing and Urban Development; National Science Foundation","keywords":"Indoor air; Mineral dust; Atmospheric dust; Dust control; Human health; Sampling (signal processing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002248149,0.0001103745,0.0001084245,0.00002427911,0.0002833554,0.00002976978,0.0001021686,0.00007195096,0.0006960227],"category_scores_gemma":[0.00001850313,0.0001053294,0.00003180629,0.00006499019,0.0002051113,0.00007760763,0.0002224179,0.0001328322,0.0001656406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362402,"about_ca_system_score_gemma":0.000005297363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003162743,"about_ca_topic_score_gemma":0.00001219968,"domain_scores_codex":[0.9992227,0.00004475705,0.0001527981,0.0002714411,0.0001011449,0.0002071717],"domain_scores_gemma":[0.9997143,0.00003393328,0.00003533371,0.0001566611,8.532963e-7,0.00005893155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007414736,0.0003927534,0.3152183,0.00007762618,0.0001169878,0.00002956193,0.002388218,0.01186711,0.2847638,0.02105867,0.03255723,0.3314556],"study_design_scores_gemma":[0.0008356342,0.00007989455,0.131129,0.0001003938,0.00006005646,0.0000151649,0.0003109212,0.0008790035,0.009931354,0.002264614,0.8539885,0.0004054689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699164,0.000280395,0.008254356,0.002151059,0.0001564519,0.0001941928,0.000008098012,0.00006236429,0.01897667],"genre_scores_gemma":[0.9912302,0.0001466564,0.002934949,0.0006897628,0.00002559206,0.00001568382,0.000003319642,0.000006938009,0.004946894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8214312,"threshold_uncertainty_score":0.762096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037905808741437,"score_gpt":0.2341191279863908,"score_spread":0.2237400698989764,"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."}}