{"id":"W3002478926","doi":"10.1002/wat2.1412","title":"Global atmospheric moisture transport associated with precipitation extremes: Mechanisms and climate change impacts","year":2020,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Water","topic":"Climate variability and models","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Precipitation; Environmental science; Climatology; Atmospheric circulation; Moisture; Atmospheric sciences; Water cycle; Atmosphere (unit); Precipitable water; Climate change; Water vapor; Meteorology; Geography; Geology; Oceanography","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":[0.0003106739,0.0002770207,0.0002007226,0.0008407143,0.0001789686,0.0009767723,0.0002354896,0.0004127692,0.001101272],"category_scores_gemma":[0.0003861125,0.0001059524,0.0004367132,0.001140497,0.0004728493,0.0007496089,0.0005619893,0.0004314026,0.000115118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000470559,"about_ca_system_score_gemma":0.0002936849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00399108,"about_ca_topic_score_gemma":0.002488056,"domain_scores_codex":[0.9999264,0.00001880182,0.000004609123,0.00002060389,0.00001578886,0.00001377281],"domain_scores_gemma":[0.9998431,0.00005019066,0.00006243755,0.000007066144,0.00002158342,0.00001554125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002190466,0.0001779634,0.3291378,0.003621171,0.001472059,0.001425991,0.0005292798,0.1391429,0.04538327,0.1698537,0.01580837,0.2932285],"study_design_scores_gemma":[0.00004079067,0.0002886742,0.5985376,0.0007074303,0.0007214471,0.0007581937,0.0008959232,0.09852307,0.007854589,0.1791161,0.1123927,0.0001635813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.663013,0.2510371,0.03097141,0.01320727,0.0008868281,0.00006766862,0.003567124,0.0004807276,0.03676892],"genre_scores_gemma":[0.9382082,0.0583095,0.001406725,0.0002396696,0.0004906037,0.00001344984,0.0003093485,0.00002184396,0.001000557],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00399108,"threshold_uncertainty_score":0.007935703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03316875953595175,"score_gpt":0.2665101017267024,"score_spread":0.2333413421907507,"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."}}