{"id":"W3136665465","doi":"10.1088/1748-9326/abd8ac","title":"Precipitation response to climate change and urban development over the continental United States","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Arizona State University; National Science Foundation","keywords":"Downscaling; Precipitation; Environmental science; Climatology; Climate change; Greenhouse gas; Climate model; Forcing (mathematics); Metropolitan area; North Atlantic oscillation; Meteorology; Geography; 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":[0.0003520481,0.0002304489,0.0001923327,0.0002767578,0.0002722768,0.0004955395,0.0003433475,0.0002904019,0.0008544686],"category_scores_gemma":[0.0009368503,0.0001492074,0.0003357887,0.0004575798,0.0002365019,0.0003253772,0.0004630355,0.0003327038,0.00007079315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008894395,"about_ca_system_score_gemma":0.0005407713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06503901,"about_ca_topic_score_gemma":0.06764904,"domain_scores_codex":[0.9998795,0.00004346321,0.000007183966,0.00003504929,0.00001586771,0.00001898329],"domain_scores_gemma":[0.9997366,0.00008656834,0.00004795315,0.00002955773,0.00005824319,0.0000411279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002566526,0.0001751399,0.6380432,0.00003895855,0.000342528,0.0002127055,0.0001009094,0.3479429,0.003028337,0.001039653,0.002257863,0.006561172],"study_design_scores_gemma":[0.00006970333,0.0001059384,0.5644485,0.00001277788,0.00007602904,0.00006317744,0.000320379,0.4307397,0.001697213,0.0007910009,0.001644974,0.00003063817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998367,0.00003373483,0.0002568892,0.0001131982,0.000007935349,0.000003441891,0.0006662663,0.00002422977,0.00052729],"genre_scores_gemma":[0.999104,0.00002743867,0.0001679378,0.00001864213,0.000002890046,0.0000058972,0.0005897881,0.00000400154,0.00007940475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06503901,"threshold_uncertainty_score":0.1293209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05024361559803246,"score_gpt":0.2974585593713206,"score_spread":0.2472149437732881,"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."}}