{"id":"W2039199851","doi":"10.5194/amt-5-457-2012","title":"The Cabauw Intercomparison campaign for Nitrogen Dioxide measuring Instruments (CINDI): design, execution, and early results","year":2012,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"British Antarctic Survey; Japan Agency for Marine-Earth Science and Technology; Natural Environment Research Council; Universität Bremen; National Research Foundation; University of Toronto; National Research Foundation of Korea; Max-Planck-Institut für Chemie; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; Sight Research UK; Belgian Federal Science Policy Office; European Commission; Washington State University; National Aeronautics and Space Administration","keywords":"Environmental science; Remote sensing; Satellite; Aerosol; Nitrogen dioxide; Lidar; Atmosphere (unit); Calibration; Spectrometer; Meteorology; Geology; Geography; Engineering","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":[0.002654908,0.0003025928,0.0002745916,0.000001639498,0.0006697928,0.0001422838,0.0003456592,0.0001208385,0.00002933326],"category_scores_gemma":[0.000284711,0.0002154004,0.00009201222,0.0001819953,0.0001395805,0.0003972814,0.00003412291,0.0001819681,0.000009397764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005904787,"about_ca_system_score_gemma":0.00005963388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008005496,"about_ca_topic_score_gemma":0.0001015175,"domain_scores_codex":[0.9976711,0.0001522262,0.0005294632,0.0003571399,0.0005978706,0.0006921872],"domain_scores_gemma":[0.9987969,0.0001871272,0.0002580087,0.0003543982,0.0001583703,0.0002451935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008971675,0.0001091678,0.7677048,0.00008317714,0.0002398758,0.000002030847,0.001222765,0.00005285835,0.01095511,0.00005183569,0.007340542,0.2113406],"study_design_scores_gemma":[0.002125785,0.00123246,0.2199152,0.0004613154,0.0002679534,0.00006903519,0.001490972,0.001494948,0.6675113,0.002834783,0.1008787,0.00171749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8874203,0.004403692,0.1021749,0.0003295643,0.0004138246,0.002111964,0.00002630113,0.0005181411,0.002601334],"genre_scores_gemma":[0.9407061,0.0001712933,0.05861631,0.00006984585,0.000206149,0.00007663175,0.00001058126,0.00001317694,0.0001298532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6565562,"threshold_uncertainty_score":0.8783776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05139763135708576,"score_gpt":0.2323174101445247,"score_spread":0.180919778787439,"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."}}