{"id":"W2891713596","doi":"10.5194/acp-19-9431-2019","title":"A study on harmonizing total ozone assimilation with multiple sensors","year":2019,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Environment and Climate Change Canada","funders":"National Environmental Satellite, Data, and Information Service; National Oceanic and Atmospheric Administration; Environment and Climate Change Canada; National Aeronautics and Space Administration","keywords":"Ozone Monitoring Instrument; Environmental science; Satellite; Ozone; Data assimilation; Remote sensing; Meteorology; Total Ozone Mapping Spectrometer; Atmospheric sciences; Microwave Limb Sounder; Ozone layer; Geography; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003195776,0.000348201,0.0004229913,0.0002257521,0.0002733936,0.0004976267,0.0005130984,0.0003147082,0.000399881],"category_scores_gemma":[0.003023149,0.0001812862,0.0005152232,0.0006421351,0.0001453978,0.0007843527,0.0004320267,0.0001929223,0.0001036876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002540924,"about_ca_system_score_gemma":0.0005126675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005363151,"about_ca_topic_score_gemma":0.00330647,"domain_scores_codex":[0.9991829,0.0003685687,0.00005809148,0.0001801787,0.0001624185,0.00004771916],"domain_scores_gemma":[0.998997,0.0002685912,0.00007244336,0.0002605963,0.0003767062,0.00002472299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00207253,0.001341659,0.1228202,0.0005088101,0.001111357,0.0002816696,0.0005176089,0.3165201,0.1243113,0.003493659,0.002546483,0.4244748],"study_design_scores_gemma":[0.0004771245,0.002023952,0.108556,0.00004571948,0.0005569141,0.0001363211,0.0003907616,0.8217525,0.05990096,0.000624432,0.005486354,0.00004877189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371144,0.0003971247,0.05921838,0.00009342159,0.0000554371,0.0002249639,0.0002278877,0.0003398419,0.002328554],"genre_scores_gemma":[0.9663203,0.0001112177,0.03255994,0.0000359416,0.00001648608,0.00008227091,0.0003871925,0.00005995813,0.0004268411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005363151,"threshold_uncertainty_score":0.01690108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464582469055012,"score_gpt":0.2027985879828847,"score_spread":0.1881527632923346,"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."}}