{"id":"W2082191964","doi":"10.1175/jcli-d-12-00374.1","title":"A Comparison of CMIP3 Simulations of Precipitation over North America with Observations: Daily Statistics and Circulation Features Accompanying Extreme Events","year":2012,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Science; National Oceanic and Atmospheric Administration; Climate Program Office; Centers for Disease Control and Prevention; U.S. Department of Energy","keywords":"Precipitation; Climatology; Coupled model intercomparison project; Environmental science; Climate model; Atmospheric circulation; General Circulation Model; Climate change; Atmospheric sciences; Meteorology; Geology; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002331254,0.00008042323,0.0002361499,0.00005430502,0.00006943584,0.000009697882,0.0000674086,0.0000302719,0.0000875877],"category_scores_gemma":[0.00009803302,0.00006556182,0.00003041256,0.0001687261,0.00007838997,0.0006213255,0.00003928983,0.00008911356,9.821534e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005260047,"about_ca_system_score_gemma":0.00001164022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004397071,"about_ca_topic_score_gemma":0.00008640793,"domain_scores_codex":[0.9988684,0.0000641497,0.0005256516,0.00007185656,0.0003341565,0.0001357524],"domain_scores_gemma":[0.998646,0.0002528142,0.000869325,0.000100166,0.00006808858,0.00006359072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006432142,0.0002285303,0.826485,0.00003605899,0.00001790061,1.01384e-7,0.002280065,0.1663136,0.003119607,0.0000676028,0.00002363059,0.001363593],"study_design_scores_gemma":[0.0004288215,0.00008197369,0.972571,0.00005360716,0.00007991723,0.000003034225,0.0002302305,0.02596813,0.00007594944,0.000375839,0.00006703455,0.00006452943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888185,0.00005773121,0.01077577,0.00003293775,0.00004798528,0.0001201828,0.00008300378,0.000003117734,0.00006072342],"genre_scores_gemma":[0.9777474,0.00006787838,0.02211659,0.00001603283,0.00001730647,0.000001037376,0.00002410914,0.000006799249,0.000002812315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460859,"threshold_uncertainty_score":0.2673533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06654303992214702,"score_gpt":0.3202657033172409,"score_spread":0.2537226633950939,"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."}}