{"id":"W3209098721","doi":"10.1175/jcli-d-21-0028.1","title":"Quantifying the Human Influence on the Intensity of Extreme 1- and 5-Day Precipitation Amounts at Global, Continental, and Regional Scales","year":2021,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"Global Water Futures","keywords":"Climatology; Precipitation; Northern Hemisphere; Coupled model intercomparison project; Forcing (mathematics); Environmental science; Arctic oscillation; Climate model; East Asia; Climate change; Latitude; Geography; China; Geology; Meteorology; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003951056,0.000155406,0.00009990659,0.0005622555,0.00009944333,0.0003010009,0.0001116081,0.0001038032,0.0006566262],"category_scores_gemma":[0.000874404,0.00006668854,0.0001881744,0.0008195083,0.000204685,0.0002577792,0.0003507335,0.0001066338,0.00006872079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843552,"about_ca_system_score_gemma":0.0001831084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820272,"about_ca_topic_score_gemma":0.01417464,"domain_scores_codex":[0.9998817,0.00004254606,0.000007052413,0.00002964214,0.00002313849,0.00001587907],"domain_scores_gemma":[0.9995271,0.0001707099,0.0001519328,0.00005687078,0.00006339296,0.00003002916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001374045,0.00003557288,0.9555018,0.0000324172,0.0001244023,0.000053113,0.0001467277,0.0170642,0.003394348,0.0003178669,0.000285772,0.02290649],"study_design_scores_gemma":[0.000002519556,0.00001947208,0.9831682,0.000005394942,0.00002510161,0.00002401429,0.0001797576,0.0148433,0.00107692,0.0002471241,0.0004015108,0.000006701282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981347,0.00004160078,0.0008749061,0.00001631192,0.00000197119,0.000001795751,0.0003325944,0.00001001872,0.0005859734],"genre_scores_gemma":[0.9991785,0.0000337383,0.0004979597,0.000003438623,0.00000389057,0.000002024582,0.0001958144,0.000001459799,0.00008316898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007820272,"threshold_uncertainty_score":0.01554954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06862191361156796,"score_gpt":0.2997811625538695,"score_spread":0.2311592489423016,"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."}}