{"id":"W3040807176","doi":"10.1021/acs.est.0c01156","title":"Quantification of Non-refractory Aerosol Nitrate in Ambient Air by Thermal Dissociation Cavity Ring-Down Spectroscopy","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cavity ring-down spectroscopy; Aerosol; Dissociation (chemistry); Spectroscopy; Environmental chemistry; Refractory (planetary science); Nitrate; Thermal; Chemistry; Analytical Chemistry (journal); Materials science; Environmental science; Meteorology; Physical chemistry; Organic chemistry; Metallurgy; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005689833,0.000673246,0.0005026124,0.0003049341,0.0002263729,0.0003061935,0.0006836874,0.0004462284,0.000580786],"category_scores_gemma":[0.0004738936,0.0002814893,0.0003290175,0.0002128048,0.0002669188,0.0002625726,0.0003378229,0.0004992385,0.0003564474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877721,"about_ca_system_score_gemma":0.0003502809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009610865,"about_ca_topic_score_gemma":0.001658049,"domain_scores_codex":[0.9993135,0.00008053805,0.00002364896,0.0002385854,0.0002970056,0.00004670902],"domain_scores_gemma":[0.9997295,0.00008040446,0.00004633702,0.00003096479,0.00008403228,0.00002883809],"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":[0.00002925515,0.000009661099,0.0004106936,0.00004240389,0.000004456429,0.00001586359,0.000009873233,0.00006829536,0.9974649,0.00003194205,0.00003935739,0.001873352],"study_design_scores_gemma":[0.00001581094,0.0002532021,0.006948803,0.000008494373,0.00001693408,0.0002471801,0.00001919626,0.006021102,0.9837146,0.00009756179,0.002636761,0.00002042293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7957034,0.002464499,0.1964364,0.00008834215,0.0001053967,0.000299567,0.001568688,0.001230528,0.002103179],"genre_scores_gemma":[0.7481318,0.001894441,0.2433388,0.0001425026,0.00004178256,0.0006942495,0.001636717,0.0001726145,0.003947137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009610865,"threshold_uncertainty_score":0.00300914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006071365663134168,"score_gpt":0.2011028758115835,"score_spread":0.1950315101484493,"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."}}