{"id":"W3194727284","doi":"","title":"Robust acceleration of stratospheric moistening and its radiative feedback under greenhouse warming","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Environmental science; Greenhouse gas; Greenhouse effect; Greenhouse; Global warming; Atmospheric sciences; Radiative transfer; Acceleration; Climatology; Meteorology; Climate change; Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760975,0.0001544834,0.0002278491,0.000007024584,0.0001742645,0.00003869199,0.0001668853,0.0001609179,0.00001245741],"category_scores_gemma":[0.0001822961,0.00007658136,0.00004851006,0.0002063406,0.00004987135,0.0001796895,0.00005915626,0.0002050397,0.00001724574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001068893,"about_ca_system_score_gemma":0.000007836082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006306015,"about_ca_topic_score_gemma":0.002313333,"domain_scores_codex":[0.9989523,0.00004448243,0.0003200606,0.0002957288,0.0001382224,0.0002491935],"domain_scores_gemma":[0.9993113,0.0002278934,0.0002454603,0.00003582217,0.00007337242,0.0001061399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001348091,0.0001282757,0.08745464,0.00009799485,0.0001059745,0.00003807362,0.001124593,0.01438168,0.8602468,0.0005914684,0.0001260485,0.03556962],"study_design_scores_gemma":[0.0008648547,0.0006604004,0.9423659,0.0001604889,0.00008868931,0.00001875854,0.004406852,0.01008659,0.04028349,0.0002839563,0.0002226641,0.0005573375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995972,0.0004438829,0.000007809237,0.002189546,0.00003047634,0.0001695604,0.00000919723,0.0001758303,0.001001725],"genre_scores_gemma":[0.999249,0.0000744547,0.0002136263,0.0003397769,0.00008896031,0.000005984732,0.00001050658,0.00000251719,0.00001515588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8549113,"threshold_uncertainty_score":0.3122897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04701187099443335,"score_gpt":0.2205013975088982,"score_spread":0.1734895265144648,"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."}}