{"id":"W2142945193","doi":"10.1111/j.1365-2486.2009.01952.x","title":"Strong links between teleconnections and ecosystem exchange found at a Pacific Northwest old‐growth forest from flux tower and MODIS EVI data","year":2009,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"U.S. Forest Service; National Nuclear Security Administration; University of Washington; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Teleconnection; Eddy covariance; Moderate-resolution imaging spectroradiometer; Pacific decadal oscillation; Environmental science; Climatology; Atmospheric sciences; Ecosystem; El Niño Southern Oscillation; Geology; Ecology; Biology; Physics; Satellite","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":[0.0005513797,0.0002018238,0.000111203,0.0007271462,0.0002165895,0.0006475615,0.0001538026,0.000234405,0.0006339668],"category_scores_gemma":[0.002172591,0.0001740317,0.0001352989,0.0006447284,0.0001957501,0.0003926997,0.0002719992,0.0002165942,0.00005375694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002432013,"about_ca_system_score_gemma":0.0001762907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091443,"about_ca_topic_score_gemma":0.0258132,"domain_scores_codex":[0.9998469,0.0000297628,0.00001654186,0.00004589149,0.00003271841,0.00002805149],"domain_scores_gemma":[0.9983898,0.0006287877,0.0005109252,0.00009169893,0.0002242473,0.0001545015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006604508,0.00002135587,0.9932828,0.000008266977,0.00005471237,0.00005041999,0.0001151574,0.0006144486,0.002379356,0.00005123207,0.0001244775,0.003231687],"study_design_scores_gemma":[0.000002128189,0.000005812254,0.9983686,0.000002334256,0.000008871441,0.00002219634,0.00003824865,0.001328583,0.0001335674,0.00001748734,0.00007002147,0.000002212241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994178,0.00002380526,0.00009326841,0.00001721527,0.000001553754,0.000001398267,0.0001762183,0.00000453952,0.0002642722],"genre_scores_gemma":[0.9993643,0.0000198348,0.0001088426,0.000006047191,0.000003260234,0.000002486339,0.0004300018,0.000002055259,0.00006323242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091443,"threshold_uncertainty_score":0.02170181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443140683534875,"score_gpt":0.2462591355263696,"score_spread":0.2118277286910209,"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."}}