{"id":"W2981254104","doi":"10.3390/atmos10120798","title":"Coupled Stratospheric Chemistry–Meteorology Data Assimilation. Part II: Weak and Strong Coupling","year":2019,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada","funders":"","keywords":"Data assimilation; Stratosphere; Troposphere; Atmospheric sounding; Meteorology; Environmental science; Depth sounding; Numerical weather prediction; Atmospheric sciences; Chemical transport model; Radiance; Atmospheric chemistry; Climatology; Ozone; Physics; Remote sensing; Geography; Geology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001423433,0.0008852417,0.000474704,0.0005852758,0.0004468916,0.0009370137,0.0007412562,0.0007192793,0.001279928],"category_scores_gemma":[0.002733313,0.0003661371,0.0009057792,0.0005895073,0.0004242395,0.001118245,0.001325062,0.0006708577,0.0001808356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000606371,"about_ca_system_score_gemma":0.0008288279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02473328,"about_ca_topic_score_gemma":0.01975335,"domain_scores_codex":[0.9994879,0.0001249336,0.00005105629,0.000143,0.0001185152,0.00007455146],"domain_scores_gemma":[0.999261,0.0002566812,0.00006336671,0.0001825336,0.0001709879,0.00006549606],"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":[0.001381137,0.0005427717,0.2380892,0.0004044217,0.001468517,0.00043159,0.0002510713,0.6177235,0.06028264,0.005035887,0.002253099,0.07213605],"study_design_scores_gemma":[0.0001156174,0.0002067285,0.09669862,0.0000150471,0.0001514464,0.00004357724,0.0000821404,0.8869409,0.01268569,0.001490751,0.001518496,0.00005097791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699991,0.0005047813,0.02351894,0.0002914362,0.0001130577,0.0001676548,0.00207999,0.0002436597,0.003081297],"genre_scores_gemma":[0.9860294,0.0000842946,0.01084923,0.00007405979,0.00002127003,0.00005338266,0.002297289,0.00005173363,0.0005392465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02473328,"threshold_uncertainty_score":0.0491786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193922490439854,"score_gpt":0.2270510602730784,"score_spread":0.207658811229093,"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."}}