{"id":"W2096379963","doi":"10.1128/aem.67.6.2775-2780.2001","title":"Comparison of Endotoxin Exposure Assessment by Bioaerosol Impinger and Filter-Sampling Methods","year":2001,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Institute of Environmental Health Sciences; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Bioaerosol; Limulus amebocyte lysate; Indoor bioaerosol; Sampling (signal processing); Chromatography; Chemistry; Environmental science; Filter (signal processing); Environmental chemistry; Biology; Aerosol; Lipopolysaccharide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002410854,0.000572828,0.0005313339,0.0007944999,0.0003188745,0.0008436325,0.0004184204,0.0006429661,0.0006239804],"category_scores_gemma":[0.004586432,0.0002524689,0.0003731462,0.0005684756,0.0004515613,0.0003883094,0.000504196,0.000306468,0.0002456476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003142977,"about_ca_system_score_gemma":0.0003116505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148521,"about_ca_topic_score_gemma":0.002772492,"domain_scores_codex":[0.9941357,0.001498953,0.0003652473,0.001011119,0.002782056,0.0002068409],"domain_scores_gemma":[0.9972224,0.001081795,0.0004977887,0.0003647961,0.0007397405,0.00009349694],"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":[0.000750836,0.0003178756,0.06038518,0.0001850614,0.0001237876,0.00007204439,0.0004917395,0.0004457806,0.9055716,0.0001250341,0.00007596207,0.03145504],"study_design_scores_gemma":[0.00004260084,0.005916797,0.3979663,0.00003553538,0.0001902388,0.0006010085,0.0003645365,0.002626692,0.5895889,0.0002027554,0.002399682,0.00006491689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699144,0.0006185361,0.02840734,0.00003075353,0.00002405409,0.00009517605,0.0001885548,0.00004830496,0.00067282],"genre_scores_gemma":[0.9376796,0.0009877458,0.05826411,0.00009361497,0.00003744679,0.0002372953,0.001066447,0.00004459301,0.001589077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002410854,"threshold_uncertainty_score":0.01274997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02062693697158563,"score_gpt":0.3110148461463805,"score_spread":0.2903879091747948,"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."}}