{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001359142,0.0002822568,0.0002626752,0.0001249769,0.0001860085,0.0003327124,0.0001915659,0.0002465606,0.001491668],"category_scores_gemma":[0.0007389562,0.0001638537,0.0002315806,0.00007495558,0.0002673235,0.0002210099,0.0004683901,0.0003436404,0.0001383223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314753,"about_ca_system_score_gemma":0.0001885393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825208,"about_ca_topic_score_gemma":0.001115062,"domain_scores_codex":[0.9999419,0.000007120053,0.000002284643,0.00001894624,0.000009687605,0.00002008856],"domain_scores_gemma":[0.9998503,0.00004319533,0.00003474781,0.0000249455,0.00002066907,0.00002613035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009982178,0.0001221075,0.01700021,0.00007747539,0.0001393157,0.0005058263,0.0001256688,0.1881665,0.766566,0.005816074,0.0008594997,0.01962304],"study_design_scores_gemma":[0.00008916992,0.0003754724,0.1863058,0.00000877906,0.00005227083,0.0001438031,0.00009112648,0.7675516,0.03889804,0.005528674,0.0009058878,0.00004947081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987547,0.00009855579,0.007948226,0.0002014964,0.00004550196,0.000008622901,0.000117491,0.0002945109,0.003738614],"genre_scores_gemma":[0.9996196,0.000008755042,0.0001582706,0.000008626389,0.000005284155,0.000001128935,0.00001461644,0.00001144826,0.0001722899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001825208,"threshold_uncertainty_score":0.004990101,"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."}}