{"id":"W2063803602","doi":"10.1007/s00382-004-0417-x","title":"Multicentury reconstruction of the Canadian Drought Code from eastern Canada and its relationship with paleoclimatic indices of atmospheric circulation","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; University of Winnipeg; University of Manitoba; Université du Québec à Montréal","funders":"","keywords":"Climatology; Pacific decadal oscillation; North Atlantic oscillation; Forcing (mathematics); Subtropical ridge; Arctic; Environmental science; Geology; Arctic oscillation; Siberian High; Precipitation; Sea surface temperature; Oceanography; Geography; East Asia; Northern Hemisphere; China","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005473483,0.0002492805,0.0002177713,0.002739116,0.001449724,0.001010207,0.0007624043,0.0004747602,0.002432395],"category_scores_gemma":[0.002785255,0.0002831689,0.0002784196,0.006638883,0.0003955477,0.0003319745,0.0007628084,0.0005792718,0.0003506294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0133315,"about_ca_system_score_gemma":0.01574714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934587,"about_ca_topic_score_gemma":0.9962239,"domain_scores_codex":[0.9996961,0.00002017619,0.00001450907,0.00007655875,0.00007650862,0.0001160837],"domain_scores_gemma":[0.9975396,0.0001658155,0.0002482311,0.00009423587,0.00168307,0.0002691123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002450028,0.0000507743,0.9119186,0.00007533914,0.0002603307,0.0002224381,0.0009921005,0.02330515,0.002841127,0.003940516,0.01740627,0.03874229],"study_design_scores_gemma":[0.00000649694,0.000003273903,0.9818115,0.00001978971,0.00002545162,0.00004067921,0.0003788958,0.008716893,0.0002384397,0.0001151494,0.008617532,0.00002607656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660005,0.0006412531,0.00104038,0.0008220781,0.0000320833,0.00001633772,0.02652242,0.0001170675,0.004807832],"genre_scores_gemma":[0.9834459,0.0002497507,0.001291764,0.00007035223,0.00001044955,0.00001192619,0.01256736,0.00003024213,0.002322226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0133315,"threshold_uncertainty_score":0.09672725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002799518087273,"score_gpt":0.1870514258642249,"score_spread":0.1770234306833521,"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."}}