{"id":"W2065950718","doi":"10.1175/bams-d-11-00223.1","title":"The North American Regional Climate Change Assessment Program: Overview of Phase I Results","year":2012,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Climate variability and models","field":"Environmental Science","cited_by":490,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"Lawrence Livermore National Laboratory; National Oceanic and Atmospheric Administration; U.S. Environmental Protection Agency; U.S. Department of Energy; Met Office; Office of Research and Development; National Science Foundation","keywords":"Climatology; Climate model; Environmental science; Weighting; Precipitation; Climate change; Scale (ratio); Mean squared error; Meteorology; Downscaling; Coupled model intercomparison project; Geography; Statistics; Mathematics; Cartography; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001872921,0.000195283,0.0004368694,0.000004785883,0.0003048514,0.00001253343,0.000700592,0.00003725617,0.0002127986],"category_scores_gemma":[0.0001505001,0.00009979193,0.0004939801,0.0004737846,0.004037907,0.00003391266,0.0007871141,0.0002531159,0.00002524484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009982053,"about_ca_system_score_gemma":0.000008802042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001198909,"about_ca_topic_score_gemma":0.0000358401,"domain_scores_codex":[0.9974946,0.0005027636,0.000506394,0.0003126835,0.0005609261,0.0006225827],"domain_scores_gemma":[0.9976195,0.000654288,0.0009306685,0.000632364,0.00002279015,0.0001403703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001637989,0.007600223,0.4583497,0.00009542715,0.0002723457,9.661533e-7,0.001908716,0.0003709877,0.001828675,0.002168979,0.03873723,0.4870288],"study_design_scores_gemma":[0.0005892956,0.001087962,0.7601613,0.00001108574,0.00007833998,0.000003049743,0.0003935368,0.0007612264,0.00004307785,0.0001058961,0.2365786,0.0001865698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859115,0.0001177384,0.00002355364,0.01157816,0.00005922208,0.0006548562,0.00008794839,0.00003924211,0.001527792],"genre_scores_gemma":[0.9823684,0.002268126,0.01222058,0.002868208,0.00006534055,0.0001624911,0.000008891898,0.00001163254,0.00002633152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4868422,"threshold_uncertainty_score":0.9986725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07924708343433304,"score_gpt":0.3436001090272127,"score_spread":0.2643530255928797,"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."}}