{"id":"W4380996050","doi":"10.5194/amt-16-2957-2023","title":"Multi-parameter dynamical diagnostics for upper tropospheric and lower stratospheric studies","year":2023,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Goddard Space Flight Center; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; California Institute of Technology; Jet Propulsion Laboratory; Deutsche Forschungsgemeinschaft","keywords":"Stratosphere; Tropopause; Troposphere; Environmental science; Context (archaeology); Atmospheric sciences; Climatology; Geography; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009605762,0.000645671,0.0003495974,0.00222186,0.0002334455,0.0009622836,0.0004231684,0.0003992314,0.001931024],"category_scores_gemma":[0.003170308,0.0002399793,0.0005793631,0.001323825,0.0001353581,0.0008764443,0.0008456865,0.0005181612,0.0003882391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345186,"about_ca_system_score_gemma":0.0004428293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004333086,"about_ca_topic_score_gemma":0.003852215,"domain_scores_codex":[0.9997748,0.00009259163,0.00002152486,0.00004545511,0.00005152979,0.00001419243],"domain_scores_gemma":[0.9991159,0.0003684645,0.0001872276,0.0001583241,0.0001299845,0.0000400962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002569178,0.0002306989,0.3354514,0.0006080372,0.0009452862,0.0006093764,0.000652412,0.3011089,0.04836373,0.02366654,0.009282793,0.278824],"study_design_scores_gemma":[0.00002088317,0.00009334218,0.1023491,0.00008739242,0.00008356358,0.0001029781,0.0002486103,0.8728208,0.005562353,0.007240956,0.01134037,0.00004972888],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4201939,0.003345642,0.5432918,0.0006872604,0.0002914253,0.0004195841,0.01787808,0.004846666,0.009045614],"genre_scores_gemma":[0.8759922,0.0004344097,0.1175781,0.00005946128,0.00009833313,0.0001622696,0.004599549,0.0002265875,0.0008491406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004333086,"threshold_uncertainty_score":0.008615732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05458595812926677,"score_gpt":0.2837020642638015,"score_spread":0.2291161061345347,"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."}}