{"id":"W2791723654","doi":"10.1016/j.gloplacha.2018.03.006","title":"Post-1980 shifts in the sensitivity of boreal tree growth to North Atlantic Ocean dynamics and seasonal climate","year":2018,"lang":"en","type":"article","venue":"Global and Planetary Change","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; SNS Nordic Forest Research; The Research Council; National Science Foundation","keywords":"North Atlantic oscillation; Thermohaline circulation; Atlantic multidecadal oscillation; Boreal; Taiga; Climatology; Environmental science; Dendrochronology; Climate change; Oceanography; Arctic oscillation; Precipitation; Arctic; Dendroclimatology; Geology; Geography; Northern Hemisphere","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002079297,0.0001047459,0.0001310754,0.00003718654,0.00006078835,0.00002264693,0.00007416979,0.00003830804,0.00003836613],"category_scores_gemma":[0.00002096176,0.00007180314,0.00001464344,0.0001454035,0.00009466628,0.00006982459,0.000019417,0.00005476154,0.0000457274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000286901,"about_ca_system_score_gemma":0.00001084761,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01630654,"about_ca_topic_score_gemma":0.3531662,"domain_scores_codex":[0.9992596,0.0001086746,0.00009739143,0.0001606337,0.0001384598,0.0002352788],"domain_scores_gemma":[0.999632,0.0001587998,0.00002909628,0.00008061594,0.00001593914,0.00008355756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001744864,0.000007215072,0.981324,0.00003416314,0.000005694539,0.00007235503,0.0002240623,0.000001171414,5.081141e-7,0.0001053881,0.00008931997,0.0179616],"study_design_scores_gemma":[0.0001034215,0.0002100538,0.9955598,0.00001954053,0.0000122891,0.0001039251,0.00006742311,0.003651462,3.579657e-7,0.00004149886,0.0001415323,0.00008866251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928482,0.0002210049,0.000001201618,0.000504443,0.00007324383,0.000119205,0.003849159,0.00001391695,0.002369578],"genre_scores_gemma":[0.9983368,0.0001688037,0.00007366478,0.0005109756,0.00008838777,1.751498e-7,0.0008170308,0.000001396347,0.000002760074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3368597,"threshold_uncertainty_score":0.990244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01508495412537194,"score_gpt":0.2133792672414803,"score_spread":0.1982943131161084,"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."}}