{"id":"W3081101829","doi":"10.1039/d0em00194e","title":"Passive air sampling for semi-volatile organic chemicals","year":2020,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Public Health","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Environmental chemistry; Passive sampling; Sampling (signal processing); Organic chemicals; Waste management; Chemistry; Engineering; Telecommunications; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00126159,0.0009004437,0.0008083331,0.001058982,0.0007224563,0.0009442951,0.001488864,0.001207087,0.005126148],"category_scores_gemma":[0.001960108,0.0004151244,0.0007990595,0.0008099584,0.0004241038,0.0009951447,0.0007868501,0.0008328275,0.004164882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004346771,"about_ca_system_score_gemma":0.0007992755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739829,"about_ca_topic_score_gemma":0.002730702,"domain_scores_codex":[0.9970737,0.0004150976,0.0001139617,0.000891002,0.001394424,0.000111779],"domain_scores_gemma":[0.9988365,0.0003011993,0.0001677517,0.0001421179,0.0005090022,0.00004345693],"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":[0.0007649737,0.0003494401,0.01679786,0.00310267,0.0001853975,0.0002005221,0.000419726,0.001694697,0.7682326,0.002987924,0.008591239,0.196673],"study_design_scores_gemma":[0.000166566,0.002247839,0.04074551,0.0004506168,0.0004193672,0.001037431,0.0003650779,0.01850082,0.7847555,0.003629092,0.1475227,0.0001595584],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2689118,0.01126358,0.6547176,0.0005865641,0.001327026,0.005145533,0.01504299,0.004448045,0.03855684],"genre_scores_gemma":[0.6313863,0.007895385,0.3084307,0.001379133,0.0006358909,0.004624773,0.01072799,0.0005573867,0.03436249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005126148,"threshold_uncertainty_score":0.01714867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692634300499525,"score_gpt":0.2503524105896478,"score_spread":0.2334260675846525,"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."}}