{"id":"W2230344864","doi":"10.1007/s00382-016-2973-2","title":"Wintertime precipitation variability over the Arabian Peninsula and its relationship with ENSO in the CAM4 simulations","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Masdar Institute of Science and Technology; New York University Abu Dhabi; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research","keywords":"Teleconnection; Climatology; Rossby wave; Environmental science; Precipitation; Sea surface temperature; Multivariate ENSO index; Atmospheric sciences; El Niño Southern Oscillation; Peninsula; Climate model; Atmospheric model; Atmosphere (unit); Geology; La Niña; Climate change; Oceanography; Geography; Meteorology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009992353,0.0001164773,0.00009313712,0.00002079629,0.0002491796,0.00004653963,0.0001899066,0.0000662669,0.0002422211],"category_scores_gemma":[0.0003250886,0.00005517735,0.00002450138,0.0001978761,0.0002257323,0.0003374982,0.000102937,0.0001250428,0.0000418299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028525,"about_ca_system_score_gemma":0.000008816632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007264085,"about_ca_topic_score_gemma":0.001816414,"domain_scores_codex":[0.9988038,0.0002728439,0.0002262083,0.0002825983,0.0001868768,0.0002276514],"domain_scores_gemma":[0.9980496,0.001454688,0.00007604445,0.0003700126,0.00001327113,0.00003642104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004676863,0.0001010442,0.9608084,0.00001267521,0.000004181001,9.800001e-7,0.002387986,0.01708157,0.0002939159,0.01887737,0.00001300626,0.0003721293],"study_design_scores_gemma":[0.0002492808,0.00002940569,0.6470336,0.00001749884,0.0000149775,0.00000424159,0.0001114137,0.3442529,0.0000023867,0.008164596,0.0000393342,0.00008033188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932545,0.000003687324,0.001481314,0.002290925,0.0000416102,0.0004690301,0.0001052581,0.00002209504,0.002331616],"genre_scores_gemma":[0.9995545,0.00001311844,0.0001645663,0.0001359796,0.00001019373,0.00002897557,0.00002170423,0.000009824609,0.00006112908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3271714,"threshold_uncertainty_score":0.2652151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598944091317274,"score_gpt":0.2447317552566409,"score_spread":0.2287423143434682,"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."}}