{"id":"W2912289277","doi":"10.1364/ao.58.001374","title":"Improved ozone DIAL retrievals in the upper troposphere and lower stratosphere using an optimal estimation method","year":2019,"lang":"en","type":"article","venue":"Applied Optics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique","keywords":"Stratosphere; Troposphere; Environmental science; Lidar; Ozone; Dial; Altitude (triangle); Tropospheric ozone; Atmospheric sciences; Remote sensing; Meteorology; Geology; Physics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005419443,0.00017154,0.0002137081,0.000006083483,0.0001062607,0.0001457382,0.0001719984,0.0001259397,0.00118237],"category_scores_gemma":[0.00001242519,0.0001218356,0.00003034959,0.0002273608,0.00005512697,0.0002550757,0.00001488804,0.0002125989,0.00005559149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006362866,"about_ca_system_score_gemma":0.00005085897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003059962,"about_ca_topic_score_gemma":0.0001303992,"domain_scores_codex":[0.9988233,0.00006656541,0.0002485866,0.000301112,0.000216649,0.0003437157],"domain_scores_gemma":[0.9993974,0.0001455663,0.00009269173,0.0002647189,0.00001952129,0.00008009194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001616322,0.0004104531,0.1307762,0.0001904477,0.0001215707,0.00006576616,0.005150328,0.5007803,0.007156441,0.005750752,0.00007603563,0.3479054],"study_design_scores_gemma":[0.0007014858,0.0003066124,0.02829644,0.000008949331,0.00004229823,0.00002255406,0.002900435,0.966601,0.0001962868,0.0005615653,0.00009828799,0.0002641558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821104,0.0001257427,0.0110614,0.00004597751,0.0001180732,0.0004154874,0.00001171057,0.00002418827,0.006086992],"genre_scores_gemma":[0.7987258,0.00002717609,0.2009485,0.0001648341,0.00005525063,0.00000122731,0.00003276581,0.000007173784,0.00003717946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4658206,"threshold_uncertainty_score":0.9997307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315871701385178,"score_gpt":0.2506205928187417,"score_spread":0.2374618758048899,"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."}}