{"id":"W1612790909","doi":"10.1002/9780470057339.vnn123","title":"Climate Change and North American Great Plains' Drought","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Regina","funders":"Climate Extremes","keywords":"Climate change; Northern Hemisphere; Geography; Period (music); Climatology; Latitude; Natural (archaeology); Southern Hemisphere; Physical geography; Ecology; Archaeology; Geology; Biology","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":[0.0001360414,0.00006210318,0.00005631011,0.0005581064,0.0002354723,0.0004419399,0.00008609912,0.0001137828,0.003136019],"category_scores_gemma":[0.0005573619,0.00002657675,0.00007690651,0.001587453,0.0001144281,0.0001935336,0.0002524872,0.0001321507,0.0001181449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004718598,"about_ca_system_score_gemma":0.0004361988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08981871,"about_ca_topic_score_gemma":0.1871801,"domain_scores_codex":[0.9999498,0.00001315596,0.000003460989,0.000008821962,0.00001642835,0.000008305823],"domain_scores_gemma":[0.9997842,0.00006294899,0.00006872732,0.000006633599,0.00005297153,0.00002456536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001325307,0.00008666439,0.796232,0.001086788,0.0001788833,0.0007190835,0.002197742,0.001823672,0.001774711,0.003711646,0.03496835,0.157088],"study_design_scores_gemma":[0.000002539091,0.000006756352,0.9804432,0.00004327063,0.00001371038,0.00004511205,0.0005128671,0.0002318519,0.00006312667,0.0003300102,0.01830326,0.000004336628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89137,0.02822448,0.0003814071,0.006236845,0.000185223,0.0000340168,0.01337943,0.00008530718,0.06010325],"genre_scores_gemma":[0.9791226,0.01397214,0.0002522671,0.0002287195,0.0001597225,0.00001261109,0.002300543,0.00000551219,0.003945819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9101813,"threshold_uncertainty_score":0.1785918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104009680176273,"score_gpt":0.2137022279830431,"score_spread":0.1926621311812804,"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."}}