{"id":"W7133064762","doi":"","title":"Development, Characterization and Field Testing of a Passive Air Sampler for Monitoring Occupational Exposure to Mercury Vapors","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mercury (programming language); Passive sampling; Occupational exposure; Inhalation exposure; Sampling (signal processing); Exposure assessment; Contamination","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001057353,0.0003389701,0.0002803986,0.0002542179,0.0003419487,0.0002982816,0.0005629577,0.0004241267,0.0007226518],"category_scores_gemma":[0.000820487,0.0002110176,0.0002222735,0.0001912053,0.0003313045,0.000210875,0.0002343522,0.0002961011,0.0003491961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000296492,"about_ca_system_score_gemma":0.0006587881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002601297,"about_ca_topic_score_gemma":0.002167297,"domain_scores_codex":[0.9993297,0.0001635956,0.0000379315,0.000137783,0.0002917394,0.00003936867],"domain_scores_gemma":[0.9996487,0.0001092535,0.00003496946,0.00004287532,0.0001363533,0.00002795514],"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":[0.0002233598,0.0003793372,0.0114086,0.00008955688,0.000009915516,0.00008162027,0.0002905813,0.000522745,0.9618321,0.00009540902,0.0000972319,0.02496969],"study_design_scores_gemma":[0.0001067963,0.009545634,0.06477775,0.00002614627,0.00006095108,0.0009353767,0.0002754722,0.006630111,0.909859,0.0001042862,0.007653002,0.00002543093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675903,0.0001565508,0.03027129,0.00006213287,0.00001233522,0.0006869783,0.0002477163,0.0001465472,0.0008262515],"genre_scores_gemma":[0.9346431,0.0002539359,0.06034234,0.00005209876,0.00001322739,0.0005953296,0.0006467872,0.00003130381,0.003421814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002601297,"threshold_uncertainty_score":0.005591929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05941043207940485,"score_gpt":0.3426547329674229,"score_spread":0.2832443008880181,"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."}}