{"id":"W2085657095","doi":"10.1144/1467-7873/05-083","title":"In-stack and in-plume characterization of particulate metals emitted from a copper smelter","year":2006,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"","keywords":"Particulates; Stack (abstract data type); Smelting; Copper; Environmental chemistry; Plume; Environmental science; Characterization (materials science); Metallurgy; Materials science; Chemistry; Nanotechnology; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001216605,0.0003854809,0.0002380425,0.0004497909,0.0006314107,0.0003330368,0.0003127261,0.0002077509,0.0007133377],"category_scores_gemma":[0.0001525338,0.0001524172,0.0001929786,0.0002969336,0.0001608602,0.0001722732,0.0001432058,0.000214704,0.0001137277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477261,"about_ca_system_score_gemma":0.0007397132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2251837,"about_ca_topic_score_gemma":0.3519814,"domain_scores_codex":[0.9999039,0.00000748391,0.00000285256,0.00002039017,0.00003989921,0.00002539394],"domain_scores_gemma":[0.9999126,0.000007617193,0.00001348621,0.000004123488,0.00004803854,0.00001408175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003711216,0.0001447536,0.09682843,0.00006285051,0.00006074624,0.0004212144,0.0006676752,0.001637062,0.8939064,0.00006241506,0.0001630868,0.005674144],"study_design_scores_gemma":[0.00002536372,0.0007986083,0.5614672,0.00001050553,0.00008221711,0.0003205265,0.001157179,0.01238701,0.4219512,0.00008092872,0.001687548,0.00003168869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992378,0.00001744876,0.0003416586,0.00000520264,8.165275e-7,0.00000621001,0.0001331595,0.000006276235,0.0002514106],"genre_scores_gemma":[0.9974554,0.00005080132,0.0007985979,0.00001082792,0.000001411841,0.000005364463,0.0004693791,0.000007753575,0.001200401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2251837,"threshold_uncertainty_score":0.447746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753264922648459,"score_gpt":0.2415320935596097,"score_spread":0.2239994443331251,"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."}}