{"id":"W2970804154","doi":"10.22581/muet1982.1702.16","title":"Assessing the Impacts of Climate Change on Future Precipitation Trends Based on Downscaled CMIP5 Simulations Data","year":2017,"lang":"en","type":"article","venue":"Mehran University Research Journal of Engineering and Technology","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Pacific Institute for Climate Solutions; University of Victoria","funders":"U.S. Department of Energy","keywords":"Coupled model intercomparison project; Precipitation; Downscaling; Climatology; Environmental science; Climate change; Climate model; Range (aeronautics); Atmospheric sciences; Ensemble average; 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":[0.0005449091,0.0003521756,0.0002271527,0.000308187,0.0001759278,0.0004119637,0.0003512986,0.0003668372,0.0006224327],"category_scores_gemma":[0.001580753,0.0001875281,0.0004357267,0.0005316495,0.0001174634,0.0005975173,0.0002470807,0.0003895524,0.0001073901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337041,"about_ca_system_score_gemma":0.0005740588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03373936,"about_ca_topic_score_gemma":0.02854415,"domain_scores_codex":[0.9998319,0.00004290727,0.0000155044,0.00004224548,0.00004318116,0.00002430513],"domain_scores_gemma":[0.9996372,0.0001287281,0.00004363394,0.00006040331,0.0001028477,0.00002721088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002496603,0.0001538914,0.1955881,0.00008189126,0.0002519334,0.0001765627,0.0000653259,0.7789627,0.005418066,0.000587128,0.0008638227,0.01760089],"study_design_scores_gemma":[0.00003644987,0.00008094937,0.1538314,0.00001250494,0.00006816101,0.00002353403,0.00007093851,0.8417646,0.002869192,0.0002494568,0.0009708891,0.0000220586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956588,0.00006360254,0.001414046,0.00008604636,0.00001457152,0.00001522515,0.001744164,0.00008025651,0.0009233971],"genre_scores_gemma":[0.995455,0.00007619849,0.001868032,0.00001491511,0.000007065078,0.00001676559,0.002428587,0.00001125032,0.0001221427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03373936,"threshold_uncertainty_score":0.06708592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07388591628178266,"score_gpt":0.3465943748375633,"score_spread":0.2727084585557806,"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."}}