{"id":"W4408742234","doi":"10.1016/j.pce.2025.103909","title":"Projection of precipitation variability over the highlands of Yemen by statistical down-scaling for the period 2026–2100","year":2025,"lang":"en","type":"article","venue":"Physics and Chemistry of the Earth Parts A/B/C","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technische Universität Dresden; National Oceanic and Atmospheric Administration; Deutscher Akademischer Austauschdienst; Columbia University","keywords":"Period (music); Scaling; Precipitation; Climatology; Projection (relational algebra); Environmental science; Geology; Geography; Meteorology; Mathematics; Physics","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":[0.0003991417,0.00006348144,0.0001073857,0.000001373346,0.0001173696,0.00000934136,0.0001249974,0.00003064379,0.00007803173],"category_scores_gemma":[0.00007114391,0.00003428513,0.00005010864,0.00007021989,0.0003342116,0.00003448269,0.00009462137,0.00005960721,1.318617e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106547,"about_ca_system_score_gemma":0.00001557886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346076,"about_ca_topic_score_gemma":0.000006905348,"domain_scores_codex":[0.9994351,0.0000337221,0.0001840313,0.0001335118,0.0001307808,0.00008284041],"domain_scores_gemma":[0.9993378,0.0002812932,0.000113343,0.0002371248,0.0000185899,0.00001184926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005109264,0.00140137,0.1040979,0.002357175,0.0003357455,5.308869e-8,0.009536511,0.03333957,0.8020455,0.01168847,0.004610892,0.03007588],"study_design_scores_gemma":[0.001565618,0.0001169621,0.142686,0.0001885001,0.0004535017,8.780386e-7,0.000791325,0.2256398,0.5390234,0.08011217,0.009098069,0.0003237235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989392,0.0000215622,0.008371665,0.0004145297,0.00004935445,0.0003215101,0.0001722726,0.000003219233,0.001253931],"genre_scores_gemma":[0.9996651,0.00001112207,0.0001090564,0.00001457208,0.00001732441,0.00002359994,0.000008778756,0.000002510505,0.0001479586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2630221,"threshold_uncertainty_score":0.1398107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009081372021125682,"score_gpt":0.2425050442428198,"score_spread":0.2334236722216941,"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."}}