{"id":"W4387438983","doi":"10.5194/amt-16-1881-2023","title":"Updated merged SAGE-CCI-OMPS+ dataset for the evaluation of ozone trends in the stratosphere","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"Universität Bremen; Tekes; Deutsches Zentrum für Luft- und Raumfahrt; Centre National d’Etudes Spatiales; Canadian Space Agency; Deutsche Forschungsgemeinschaft; Academy of Finland; Universität Stuttgart; European Space Agency","keywords":"SCIAMACHY; Stratosphere; Occultation; Environmental science; Atmospheric sounding; Troposphere; Osiris; Ozone; Aerosol; Atmospheric sciences; Remote sensing; Ozone layer; Satellite; Meteorology; Geography; Physics","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":[0.007272545,0.0002225404,0.0002614267,0.000006121386,0.0002260998,0.00005536616,0.0006574608,0.00008855759,0.003255634],"category_scores_gemma":[0.0001219382,0.0001267611,0.0001017298,0.001589328,0.00009799545,0.0001937832,0.00002045022,0.0001573279,0.00004073745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002335954,"about_ca_system_score_gemma":0.0001033776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242546,"about_ca_topic_score_gemma":0.004806561,"domain_scores_codex":[0.9968625,0.0003790153,0.0005175119,0.0003307756,0.001499947,0.0004102959],"domain_scores_gemma":[0.9987375,0.0001831457,0.0002291231,0.0006100218,0.0001970712,0.00004315767],"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":[0.0000928493,0.00007366891,0.01771911,0.00002869297,0.00009900991,0.00000325879,0.0003634153,0.002284325,0.0003712609,0.00005017316,0.09172396,0.8871903],"study_design_scores_gemma":[0.001907378,0.0009887298,0.639555,0.0001348829,0.0007568375,0.000009707565,0.005601066,0.2045536,0.002534877,0.002639636,0.1405147,0.0008035912],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021631,0.01476918,0.02045454,0.01186206,0.001741349,0.01514777,0.004115431,0.001934908,0.0278117],"genre_scores_gemma":[0.992904,0.0003368097,0.00410783,0.0003034591,0.00007337413,0.0001668031,0.002011144,0.00001182605,0.00008473364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8863867,"threshold_uncertainty_score":0.9976555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005102691653788,"score_gpt":0.3157773409279634,"score_spread":0.2152670717625846,"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."}}