{"id":"W2897422611","doi":"10.5194/amt-12-2097-2019","title":"Optimal estimation method retrievals of stratospheric ozone profiles from a DIAL","year":2019,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Environmental science; Ozone; Lidar; Remote sensing; Altitude (triangle); Meteorology; Dial; Atmospheric sciences; Mathematics; Physics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001223,0.0003387252,0.0005826933,0.000004063995,0.00008723741,0.00006132817,0.0004070406,0.0001900162,0.008550287],"category_scores_gemma":[0.0001082648,0.000287755,0.0001566527,0.0005630598,0.00007630344,0.0004040462,0.00003079905,0.0002054079,0.0002230258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004337339,"about_ca_system_score_gemma":0.0002286845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003402743,"about_ca_topic_score_gemma":0.0001002586,"domain_scores_codex":[0.9969198,0.0002211957,0.0007036188,0.0005449413,0.00117337,0.0004371037],"domain_scores_gemma":[0.998508,0.0001352599,0.0004539798,0.0005334513,0.0002365333,0.0001327358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005216533,0.0002336658,0.3494766,0.0002203739,0.0003108023,0.00001743764,0.0006571491,0.008390637,0.02674091,0.0001790664,0.001228755,0.6120229],"study_design_scores_gemma":[0.002133489,0.00390821,0.418281,0.0007371442,0.0004855866,0.00003041082,0.001414536,0.2955064,0.2628501,0.004594621,0.0077237,0.002334803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8237811,0.001317459,0.161105,0.00008492982,0.0002991346,0.001262869,0.00006067275,0.0004908143,0.01159804],"genre_scores_gemma":[0.5423695,0.00007076262,0.4572661,0.00006058097,0.0000554815,0.00001027837,0.00004928052,0.00001201051,0.0001060006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6096882,"threshold_uncertainty_score":0.9999574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01997109400371064,"score_gpt":0.2457358766715727,"score_spread":0.225764782667862,"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."}}