{"id":"W2611598194","doi":"10.5194/amt-10-3651-2017","title":"The effects of meteorological parameters and diffusive barrier reuse on the sampling rate of a passive air sampler for gaseous mercury","year":2017,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relative humidity; Wind speed; Mercury (programming language); Environmental science; Sampling (signal processing); Atmospheric sciences; Humidity; Chemistry; Meteorology; Environmental chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.001149451,0.0001750289,0.0002598384,0.000002208194,0.0006874295,0.00003151504,0.0004690393,0.00005716023,0.0000218964],"category_scores_gemma":[0.005481382,0.00008820388,0.00009839422,0.00004661247,0.000791972,0.00007748468,0.0002466429,0.00009279398,0.000001234032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006083763,"about_ca_system_score_gemma":0.00001196094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001904142,"about_ca_topic_score_gemma":0.00003287114,"domain_scores_codex":[0.998764,0.0001631135,0.0002708995,0.0002257385,0.0003432533,0.000233006],"domain_scores_gemma":[0.9974104,0.001326865,0.0004243996,0.000711699,0.00006838856,0.00005827949],"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":[0.0008018083,0.0003241512,0.0354218,0.0002335163,0.0007420083,0.000005222504,0.003343848,0.00005123786,0.7619023,0.003085878,0.02229026,0.1717979],"study_design_scores_gemma":[0.0006455184,0.001777708,0.1451834,0.0002377239,0.0002154298,0.000002482065,0.000448604,0.0001244351,0.8240766,0.01604119,0.0108986,0.0003483514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890758,0.0002269536,0.006855655,0.001560099,0.00009577849,0.001634562,0.000008660289,0.00004157551,0.0005009523],"genre_scores_gemma":[0.9877943,0.000402116,0.01087375,0.0004539007,0.0000125961,0.0004175465,4.739102e-7,0.00001173369,0.0000335722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1714496,"threshold_uncertainty_score":0.6562122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04195478935310268,"score_gpt":0.2778444094243759,"score_spread":0.2358896200712732,"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."}}