{"id":"W2119816784","doi":"10.1016/j.jglr.2009.09.005","title":"Projected future temperature and precipitation extremes in Chicago","year":2010,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Climate variability and models","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Met Office; University of Chicago; U.S. Environmental Protection Agency","keywords":"Precipitation; Heat wave; Environmental science; Climatology; Cold wave; Storm; Forcing (mathematics); Extreme weather; Climate change; Atmospheric sciences; Winter storm; Extreme Cold; Meteorology; Geography; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002780482,0.0002701508,0.0001509219,0.0004715296,0.0005443303,0.0008993826,0.0002824412,0.0004804422,0.00323893],"category_scores_gemma":[0.0004598461,0.0002054719,0.0003119828,0.0006539854,0.0002975114,0.000580035,0.0004916101,0.0007057088,0.0003918876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001996043,"about_ca_system_score_gemma":0.001183886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06390412,"about_ca_topic_score_gemma":0.1211825,"domain_scores_codex":[0.9999044,0.00001746974,0.00000478696,0.00001949773,0.00001906706,0.00003478234],"domain_scores_gemma":[0.9997315,0.00002764829,0.00003473884,0.000006790811,0.0001002461,0.00009916164],"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":[0.00114753,0.0002231645,0.6603969,0.0001159935,0.0002010294,0.0006449347,0.0009911824,0.2760957,0.003638647,0.01123497,0.02943389,0.01587615],"study_design_scores_gemma":[0.0001250498,0.0002163086,0.6636347,0.00007300161,0.0001350843,0.0001937987,0.003087946,0.3014376,0.002788359,0.00750875,0.02069668,0.0001028062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865255,0.0002381905,0.001624482,0.001500723,0.0001064161,0.00001025708,0.004170954,0.0001617012,0.005661746],"genre_scores_gemma":[0.9961848,0.0001233845,0.0004087512,0.00006653935,0.00002178013,0.00001591799,0.001933615,0.00001067743,0.001234671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06390412,"threshold_uncertainty_score":0.1270643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03709059865850436,"score_gpt":0.3293878543137175,"score_spread":0.2922972556552131,"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."}}