{"id":"W4387016108","doi":"10.1080/07055900.2023.2259328","title":"Linking Historical and Projected Trends in Extreme Precipitation with Cumulative Carbon Dioxide Emissions","year":2023,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Science Foundation of Tianjin Municipal Science and Technology Commission","keywords":"Environmental science; Precipitation; Climate change; Cumulative effects; Greenhouse gas; Climatology; Climate extremes; Cumulative distribution function; Atmospheric sciences; Carbon dioxide; Range (aeronautics); Climate model; Meteorology; Probability density function; Geography; Mathematics; Statistics; Chemistry; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005850304,0.0002542405,0.0001205457,0.0005911407,0.0001165984,0.0004867931,0.0002516962,0.0003343697,0.0008677879],"category_scores_gemma":[0.002100127,0.0001270113,0.0003829861,0.0008078211,0.0001225872,0.0005698992,0.0002902962,0.0004451658,0.0001546141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915529,"about_ca_system_score_gemma":0.0001911127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007085075,"about_ca_topic_score_gemma":0.007355175,"domain_scores_codex":[0.9998401,0.00003894043,0.00001473472,0.00006233622,0.00002582743,0.00001796304],"domain_scores_gemma":[0.9992689,0.0003529915,0.0002001256,0.00005653126,0.00009112313,0.00003027485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007793213,0.00005235101,0.5837684,0.00006798554,0.0002299897,0.00006557257,0.00008275059,0.4014253,0.001534178,0.001159329,0.0006974399,0.01083871],"study_design_scores_gemma":[0.00001282009,0.00009504818,0.6297635,0.00002214572,0.00005653933,0.0001218842,0.0001366327,0.3648782,0.001831268,0.001145421,0.00190531,0.00003120493],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891155,0.0001111062,0.006236087,0.00008521349,0.000008137447,0.00001038527,0.003069448,0.00007984558,0.001284328],"genre_scores_gemma":[0.9944312,0.0000932645,0.002523659,0.000009777378,0.000007800002,0.00001499134,0.00272126,0.000008076571,0.0001899682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007085075,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04461049046235118,"score_gpt":0.2570498834953799,"score_spread":0.2124393930330287,"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."}}