{"id":"W2165463227","doi":"10.1175/jcli-d-11-00408.1","title":"Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate","year":2012,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Downscaling; Climatology; Environmental science; Quantile; Index (typography); Precipitation; Climate change; Regression; Meteorology; Statistics; Mathematics; Computer science; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02317652,0.0005604177,0.0007683387,0.002421798,0.0004897817,0.001560486,0.001064147,0.0004450451,0.0009913538],"category_scores_gemma":[0.03003955,0.0004083482,0.0009190435,0.001921256,0.0004374468,0.001150844,0.001411032,0.000883966,0.0001879431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009098648,"about_ca_system_score_gemma":0.001109454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008459318,"about_ca_topic_score_gemma":0.009816063,"domain_scores_codex":[0.9930245,0.003985275,0.0004539049,0.000806405,0.001578739,0.0001512966],"domain_scores_gemma":[0.9813033,0.01148598,0.001210941,0.002700218,0.003065588,0.0002339838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001025627,0.0005268716,0.2511317,0.0002781244,0.002199433,0.0001179153,0.001423706,0.228589,0.01317195,0.006385363,0.00461239,0.4905381],"study_design_scores_gemma":[0.0001447337,0.0004354275,0.2018545,0.0001168228,0.0002100401,0.00006030442,0.0004920014,0.7764465,0.009272277,0.005633507,0.005216404,0.0001176653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7339931,0.001071437,0.2546394,0.0005220881,0.0001409764,0.0003999056,0.001100794,0.002048069,0.006084259],"genre_scores_gemma":[0.8360949,0.000143456,0.162043,0.00005026033,0.00003474221,0.0001572001,0.0008459878,0.000207338,0.0004229869],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02317652,"threshold_uncertainty_score":0.1225706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07972067331824981,"score_gpt":0.405095011044729,"score_spread":0.3253743377264792,"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."}}