{"id":"W2108562528","doi":"10.5194/amt-6-741-2013","title":"Calibration and validation of water vapour lidar measurements from Eureka, Nunavut, using radiosondes and the Atmospheric Chemistry Experiment Fourier Transform Spectrometer","year":2013,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Toronto; Environment and Climate Change Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; University of Toronto; Canadian Foundation for Climate and Atmospheric Sciences; Ontario Innovation Trust","keywords":"Radiosonde; Lidar; Calibration; Water vapor; Environmental science; Remote sensing; Sunrise; Spectrometer; Meteorology; Satellite; Arctic; Atmospheric sciences; Geography; Geology; Physics; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008517833,0.0003490713,0.0004403387,0.000001555924,0.0002382313,0.0001668672,0.0002134034,0.0001349676,0.002287614],"category_scores_gemma":[0.00002819882,0.0002128049,0.00009652109,0.0001607313,0.0002597612,0.000559583,0.00002972816,0.0001486912,0.000006496818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004486816,"about_ca_system_score_gemma":0.00004680492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005446962,"about_ca_topic_score_gemma":0.00005994599,"domain_scores_codex":[0.9975433,0.0001746432,0.0005757557,0.0004406841,0.0008631909,0.0004024338],"domain_scores_gemma":[0.9991146,0.00005092493,0.0002095705,0.0003344099,0.0001575373,0.0001330105],"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":[0.0005497076,0.0002181112,0.1794953,0.0003016874,0.0008104808,0.000007386419,0.004830312,0.000297253,0.6289846,0.00002462423,0.0004650401,0.1840155],"study_design_scores_gemma":[0.001757024,0.0002486898,0.01243122,0.000156082,0.0002927833,0.00002057288,0.0008994643,0.05675169,0.922657,0.003624641,0.0004971676,0.0006636253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827665,0.002425886,0.01132107,0.0003567249,0.00008157798,0.001094395,0.000007508608,0.0001217854,0.001824552],"genre_scores_gemma":[0.9275529,0.000302477,0.0717839,0.0001307821,0.00008968545,0.00004464844,0.00002558002,0.00001852262,0.00005150605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2936724,"threshold_uncertainty_score":0.9986244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439409331189141,"score_gpt":0.2148764699471379,"score_spread":0.1904823766352465,"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."}}