{"id":"W2036620759","doi":"10.1007/s00382-013-1933-3","title":"Imprint of the Atlantic multi-decadal oscillation and Pacific decadal oscillation on southwestern US climate: past, present, and future","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"Los Alamos National Laboratory","keywords":"Pacific decadal oscillation; Climatology; Environmental science; Precipitation; Greenhouse gas; Climate change; Global warming; Atlantic multidecadal oscillation; Sea surface temperature; Solar irradiance; Global temperature; North Atlantic oscillation; Climate model; Atmospheric sciences; Geography; Oceanography; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527158,0.0001217559,0.0001321823,0.0004940578,0.0002588651,0.0006849249,0.0001269153,0.0002454839,0.001648224],"category_scores_gemma":[0.001343493,0.0001097964,0.0002550996,0.001005072,0.0002652634,0.0005728881,0.0004938464,0.0004168967,0.0001688884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697872,"about_ca_system_score_gemma":0.0003005963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02289366,"about_ca_topic_score_gemma":0.05190538,"domain_scores_codex":[0.9999164,0.00002180857,0.000005222519,0.00002167984,0.00001414034,0.00002058742],"domain_scores_gemma":[0.9990855,0.0001639066,0.0004260364,0.0000640749,0.0001472018,0.0001132853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001200836,0.00001945325,0.9789219,0.00003025642,0.00008124327,0.00009099804,0.0003838889,0.00047448,0.001030417,0.0008585011,0.002070981,0.01591773],"study_design_scores_gemma":[0.000001394341,0.000008461419,0.9979728,0.0000141573,0.00001702829,0.00002222161,0.0001517641,0.000313112,0.00006558435,0.0001367515,0.00129279,0.000003868228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889508,0.002808729,0.0001677395,0.002226157,0.00005599386,0.000001912215,0.002237875,0.00001638468,0.003534348],"genre_scores_gemma":[0.9972432,0.001211273,0.0001377803,0.0001501855,0.00004643249,0.000001654207,0.0008285241,0.000009014044,0.0003720344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289366,"threshold_uncertainty_score":0.04552084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00970898216875991,"score_gpt":0.2201275432042671,"score_spread":0.2104185610355072,"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."}}