{"id":"W4410399349","doi":"10.1099/mic.0.001561","title":"Promoting global collaboration to improve bioaerosol exposure assessment and understanding of associated health impacts: outcomes from a series of workshops","year":2025,"lang":"en","type":"article","venue":"Microbiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; UK Research and Innovation; Wellcome Trust; Canadian Institute for Advanced Research","keywords":"Bioaerosol; Indoor bioaerosol; Stakeholder; Multidisciplinary approach; Stakeholder engagement; Environmental planning; Environmental health; Environmental science; Public relations; Political science; Ecology; Medicine; Geography; Biology","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":[0.0005443493,0.0001071849,0.0003550973,0.0000274179,0.0001113099,0.0000128534,0.00008406787,0.0001233976,0.00004600333],"category_scores_gemma":[0.0001570592,0.00009454261,0.00002275941,0.0003437938,0.0001476831,0.00009760531,0.0001369048,0.00007612243,0.000001412932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009698878,"about_ca_system_score_gemma":0.0001658776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001511203,"about_ca_topic_score_gemma":0.006039725,"domain_scores_codex":[0.998818,0.0002126726,0.0004349371,0.0002171346,0.00005063762,0.0002666609],"domain_scores_gemma":[0.9993678,0.0001099838,0.0002979582,0.0001240084,0.00001614138,0.0000840818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009804886,0.000149126,0.7528054,0.000122719,0.00008172666,4.719733e-7,0.00608131,0.0000297803,0.2354236,0.0006923793,0.001729483,0.002785969],"study_design_scores_gemma":[0.001351512,0.001325961,0.976533,0.0002791244,0.00002714539,0.000001432111,0.007294065,0.00007537042,0.01011196,0.002595757,0.0002070363,0.0001976399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831833,0.0001005611,0.001943275,0.01358631,0.0001378862,0.0004455998,0.0004854234,0.00001657778,0.0001010292],"genre_scores_gemma":[0.9955636,0.00001900236,0.002450922,0.001884724,0.000004154873,0.000005377765,0.00004511678,0.000003415972,0.00002374028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2253117,"threshold_uncertainty_score":0.3855335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03235909163072034,"score_gpt":0.3416551254226632,"score_spread":0.3092960337919429,"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."}}