{"id":"W2148331154","doi":"10.1002/joc.3682","title":"Tibetan Plateau precipitation as depicted by gauge observations, reanalyses and satellite retrievals","year":2013,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; China Meteorological Administration; National Natural Science Foundation of China; University of Washington","keywords":"Precipitation; Climatology; Plateau (mathematics); Environmental science; Rain gauge; Satellite; Quantitative precipitation estimation; Monsoon; Atmospheric sciences; 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":[0.0003013283,0.0002691644,0.0001352546,0.001279899,0.0002761671,0.0009543593,0.0002126084,0.0001816294,0.001420685],"category_scores_gemma":[0.000575376,0.0001206146,0.0002001699,0.00280609,0.0001212616,0.0003401886,0.0002293431,0.00014008,0.0002319532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005982381,"about_ca_system_score_gemma":0.0005597803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06711521,"about_ca_topic_score_gemma":0.06627651,"domain_scores_codex":[0.9999092,0.00001819914,0.00000772058,0.00002343026,0.00002243016,0.00001901068],"domain_scores_gemma":[0.9997641,0.00002433684,0.00005888316,0.00002980245,0.00008945977,0.00003332052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003910069,0.00008788192,0.9239569,0.00007406549,0.000290764,0.0003757966,0.0003919552,0.01729995,0.00591728,0.0006131365,0.003480562,0.04712071],"study_design_scores_gemma":[0.00003929252,0.00004319014,0.9757603,0.00001487459,0.00003968122,0.00005513255,0.0002077158,0.02153066,0.0004130949,0.0001516716,0.001732522,0.00001179314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915748,0.0002597662,0.000340906,0.00004640198,0.00001236517,0.00001117844,0.003118914,0.00007179351,0.00456376],"genre_scores_gemma":[0.9950957,0.0001515165,0.0003728382,0.00001315183,0.00001505275,0.00001133071,0.003620084,0.000006778443,0.0007135108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06711521,"threshold_uncertainty_score":0.1334491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050188195481518,"score_gpt":0.2829389669581446,"score_spread":0.2624370850033295,"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."}}