{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001127168,0.0001135688,0.000160602,0.0000254513,0.0002006408,0.0000254099,0.0001265162,0.00007004886,0.00003669707],"category_scores_gemma":[0.00007417746,0.00008445336,0.0000214932,0.0002471381,0.0001122755,0.0001649609,0.000009279544,0.000110641,0.000003162357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008328469,"about_ca_system_score_gemma":0.0005231593,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9333646,"about_ca_topic_score_gemma":0.9996997,"domain_scores_codex":[0.9990613,0.00006703478,0.00027537,0.0001633326,0.0002210268,0.0002119587],"domain_scores_gemma":[0.9991676,0.0002158898,0.0002924464,0.0001703948,0.00005651957,0.00009712184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002783653,0.000003971937,0.9679555,0.00007987506,0.0000152005,0.000002790761,0.0002227384,0.03007874,0.000005970598,0.0001080677,1.115917e-7,0.001499176],"study_design_scores_gemma":[0.0002695258,0.00001946322,0.8780081,0.0001591882,0.00003955137,0.00001600622,0.0003907703,0.1208517,0.0000136597,0.0001426871,0.000002061854,0.00008718194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997874,0.000214371,0.00001438021,0.0001149154,0.000193252,0.0001839109,0.0008693655,0.00001027216,0.0005255393],"genre_scores_gemma":[0.9988446,0.00005152585,0.0009290712,0.00001926966,0.000009157508,7.957365e-7,0.000135166,0.000005537777,0.000004904291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09077301,"threshold_uncertainty_score":0.3443908,"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."}}