{"id":"W2058384524","doi":"10.1021/ef800372k","title":"Application of a Diode-Laser-Based Ultraviolet Absorption Sensor for <i>in Situ</i> Measurements of Atomic Mercury in Coal-Combustion Exhaust","year":2008,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Mercury (programming language); Laser; Tunable diode laser absorption spectroscopy; Analytical Chemistry (journal); Ultraviolet; Combustion; Chemistry; Coal combustion products; Materials science; Detection limit; Optics; Optoelectronics; Tunable laser; Environmental chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000276188,0.000119847,0.0002297396,0.00008654188,0.00004320597,0.0000020949,0.00008752144,0.00006636549,0.00003649246],"category_scores_gemma":[0.0000307006,0.0001199852,0.00006081939,0.0002307578,0.0001260233,0.0001145994,0.00001630945,0.00004357918,0.000008853778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294961,"about_ca_system_score_gemma":0.00001696902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007460676,"about_ca_topic_score_gemma":0.0005957568,"domain_scores_codex":[0.9988911,0.00005593365,0.0003963294,0.000209947,0.0002713749,0.0001753586],"domain_scores_gemma":[0.9995033,0.00006251586,0.0002009238,0.0001688442,0.00002322402,0.0000411571],"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":[0.0001088209,0.0001855632,0.1323852,0.00002369673,0.000006798532,4.609003e-7,0.0002812867,0.004308097,0.8608623,0.00002289472,0.0001293911,0.001685572],"study_design_scores_gemma":[0.001111455,0.00007001409,0.171916,0.00003241699,0.00001149854,0.000001211584,0.0000853113,0.0002376616,0.8260437,0.0001275287,0.0002512894,0.0001118449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912258,0.00004614501,0.007718762,0.00005623997,0.00003930114,0.000254365,0.00001820916,0.00001157214,0.0006295699],"genre_scores_gemma":[0.9989505,0.00005575008,0.0006650792,0.00009079099,0.00001297411,0.0001058666,0.00005154862,0.00001049976,0.00005697778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03953086,"threshold_uncertainty_score":0.4892854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941322190206091,"score_gpt":0.2556401293547849,"score_spread":0.226226907452724,"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."}}