{"id":"W2343724760","doi":"10.5194/amt-9-4029-2016","title":"Proposed standardized definitions for vertical resolution and uncertainty inthe NDACC lidar ozone and temperature algorithms – Part 1: Verticalresolution","year":2016,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Lidar; Filter (signal processing); Algorithm; Mathematics; Impulse response; Smoothing; Heaviside step function; Computer science; Remote sensing; Mathematical analysis; Statistics; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.02572514,0.002755152,0.00157755,0.008634858,0.00113658,0.007982952,0.005168878,0.002527163,0.002146719],"category_scores_gemma":[0.0559899,0.00114509,0.001921779,0.006557748,0.002564521,0.00481154,0.004711615,0.003462587,0.002317953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002441742,"about_ca_system_score_gemma":0.004239866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227097,"about_ca_topic_score_gemma":0.002123256,"domain_scores_codex":[0.9629131,0.01070128,0.007911013,0.003910782,0.01333074,0.001233205],"domain_scores_gemma":[0.9527057,0.009709986,0.006310345,0.01009568,0.02070463,0.0004735941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003676361,0.0003471754,0.01476599,0.001721667,0.0004681599,0.0004581527,0.0007863675,0.05509712,0.02211941,0.4878046,0.03674878,0.379315],"study_design_scores_gemma":[0.0002261073,0.0009052429,0.01749874,0.002221647,0.0004748082,0.002168215,0.0007922656,0.3952906,0.09094363,0.1935476,0.2952276,0.0007034981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004529143,0.002091242,0.986321,0.0004864901,0.0003758942,0.0004294165,0.001225641,0.001562043,0.002979049],"genre_scores_gemma":[0.04594149,0.001432146,0.9435929,0.0004679904,0.0004437733,0.001515379,0.005088818,0.0004634337,0.001054067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02572514,"threshold_uncertainty_score":0.1360492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370686357474778,"score_gpt":0.2235906590385882,"score_spread":0.1998837954638404,"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."}}