{"id":"W2604034385","doi":"10.5194/amt-10-2645-2017","title":"Validation of the CrIS fast physical NH <sub>3</sub> retrieval with ground-based FTIR","year":2017,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Jet Propulsion Laboratory; University of Toronto; University of Wisconsin-Madison; Canadian Foundation for Climate and Atmospheric Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Fourier transform infrared spectroscopy; Analytical Chemistry (journal); Chemistry; Standard deviation; Range (aeronautics); Fourier transform; Infrared; Chromatography; Mathematics; Physics; Materials science; Statistics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033169,0.0006835724,0.0004253993,0.0008203947,0.0004697675,0.0007852894,0.0009282257,0.0007211235,0.001356231],"category_scores_gemma":[0.001606532,0.0002476625,0.0006649062,0.001046545,0.0004231925,0.001242801,0.0007131898,0.0006019099,0.000848827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005334032,"about_ca_system_score_gemma":0.0006709056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057681,"about_ca_topic_score_gemma":0.01125009,"domain_scores_codex":[0.998897,0.0001576577,0.00005077044,0.000232188,0.0005626921,0.00009975468],"domain_scores_gemma":[0.9988943,0.000137589,0.0002101543,0.0002650105,0.0004326292,0.00006034679],"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":[0.001648731,0.0007274782,0.2317373,0.0003489872,0.0006358898,0.0005014477,0.0002987644,0.09439638,0.5541131,0.0009295625,0.007679412,0.1069829],"study_design_scores_gemma":[0.0004602277,0.0009047003,0.5076693,0.00006826083,0.0003020588,0.0003744904,0.0003334239,0.2240839,0.2537095,0.0007177533,0.01119036,0.0001860238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692704,0.000151108,0.01530337,0.0001465666,0.00007122672,0.00005808789,0.007228963,0.002173102,0.005597321],"genre_scores_gemma":[0.9587291,0.00006250734,0.02986226,0.0001574175,0.00003215391,0.00004902198,0.01020533,0.0001677502,0.0007345818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01057681,"threshold_uncertainty_score":0.02103049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386561879414248,"score_gpt":0.2128929344971775,"score_spread":0.1990273157030351,"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."}}