{"id":"W2896232168","doi":"10.1029/2018jd028971","title":"The Simulation of Stratospheric Water Vapor Over the Asian Summer Monsoon in CESM1(WACCM) Models","year":2018,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Scheme for Promotion of Academic and Research Collaboration; National Science Foundation","keywords":"Environmental science; Climatology; Atmospheric sciences; Water vapor; Climate simulation; Meteorology; Climate model; Climate change; Geography; Oceanography; 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":[0.000841232,0.0009485197,0.0006811091,0.0004127363,0.0007119485,0.0008145117,0.002137109,0.001533476,0.002035311],"category_scores_gemma":[0.002061102,0.0005007774,0.0007231922,0.0008689471,0.0004923168,0.0007004918,0.0007361626,0.001064035,0.0002969118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535539,"about_ca_system_score_gemma":0.001545151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08295935,"about_ca_topic_score_gemma":0.05534448,"domain_scores_codex":[0.9997329,0.0001001249,0.00001428558,0.00004065999,0.0000467166,0.000065317],"domain_scores_gemma":[0.9990906,0.0003637609,0.00009160634,0.00008660733,0.0002119791,0.0001555295],"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":[0.0002402157,0.0001348025,0.008807233,0.00005193899,0.00007939549,0.0001080787,0.00007206684,0.9837434,0.001777533,0.001174861,0.001417965,0.00239254],"study_design_scores_gemma":[0.0001068075,0.00005861783,0.003232057,0.000004260686,0.00001428244,0.00001037443,0.00004632473,0.9950712,0.0006862962,0.0002160646,0.000540888,0.00001288444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857666,0.0001517098,0.003901611,0.0004054117,0.00005645012,0.00007837285,0.002941239,0.0003832181,0.006315317],"genre_scores_gemma":[0.990531,0.0001045844,0.005428174,0.00008591276,0.00002245128,0.0001101973,0.002390973,0.00008778229,0.00123895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08295935,"threshold_uncertainty_score":0.1649529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492459044391217,"score_gpt":0.3233957983227052,"score_spread":0.2741498938835835,"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."}}