{"id":"W2058193187","doi":"10.1038/jes.2008.45","title":"Modeling residential fine particulate matter infiltration for exposure assessment","year":2008,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Simon Fraser University; University of Victoria","funders":"Health Canada; British Columbia Centre for Disease Control","keywords":"Infiltration (HVAC); Environmental science; Particulates; Exposure assessment; Atmospheric sciences; Hydrology (agriculture); Meteorology; Environmental engineering; Geography; Statistics; Mathematics; Geotechnical engineering; Ecology; Engineering; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006046294,0.0002200892,0.0005398839,0.0001145727,0.0007494756,0.00001766205,0.0005095135,0.0001529064,0.001231321],"category_scores_gemma":[0.0005757042,0.000179615,0.0001974755,0.000179784,0.001244019,0.001146151,0.0001705842,0.0003711823,0.0001218445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000601655,"about_ca_system_score_gemma":0.0001294158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006185633,"about_ca_topic_score_gemma":0.00002076498,"domain_scores_codex":[0.9963055,0.0003789025,0.001504145,0.0004207361,0.0006191241,0.000771639],"domain_scores_gemma":[0.998122,0.0003328501,0.0007542848,0.0003102685,0.00001830239,0.0004622882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001571587,0.0002227008,0.7377149,0.00001248199,0.00001521037,0.00001956757,0.0007493392,0.2277575,0.02764453,0.0001515074,0.004095231,0.001459936],"study_design_scores_gemma":[0.00120757,0.00173311,0.9577428,0.0000269995,0.00003993127,0.000727149,0.0002026615,0.03148225,0.001360803,0.003478956,0.001691184,0.0003066251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496288,0.0001388734,0.04479048,0.004466137,0.0004556194,0.0002908038,0.000008993977,0.000009239971,0.0002110059],"genre_scores_gemma":[0.9691867,0.0001248019,0.02740626,0.002916748,0.0002307273,0.00001078541,0.000006265534,0.00001538471,0.0001023884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2200279,"threshold_uncertainty_score":0.9996817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07839553262773141,"score_gpt":0.3593694586345025,"score_spread":0.2809739260067711,"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."}}