{"id":"W7018745288","doi":"","title":"Dynamics, variability, and change in seasonal precipitation reconstructions for North America Dynamics, variability, and change in seasonal precipitation reconstructions for North America","year":2020,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; North Atlantic oscillation; Atlantic multidecadal oscillation; Forcing (mathematics); Arctic; Arctic oscillation; Paleoclimatology; Teleconnection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003821403,0.0001960776,0.0001169888,0.0006837408,0.0001737809,0.0005033949,0.0001999016,0.0001574733,0.001146672],"category_scores_gemma":[0.001046105,0.0002083043,0.0002838874,0.0006808797,0.000106076,0.0002788781,0.0002717727,0.0002477293,0.0002499586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003308617,"about_ca_system_score_gemma":0.0002626599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433356,"about_ca_topic_score_gemma":0.03733094,"domain_scores_codex":[0.9998852,0.00002877966,0.0000130462,0.00003943544,0.00002195001,0.0000116306],"domain_scores_gemma":[0.9996462,0.00007857499,0.00008722669,0.0000561032,0.0001043595,0.00002755092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002288787,0.00003821017,0.9195687,0.00007114418,0.0004483271,0.0001118104,0.0003720704,0.03282934,0.005677689,0.0003722896,0.003920981,0.03636073],"study_design_scores_gemma":[0.00001327709,0.00001186334,0.9699197,0.00001801928,0.00002705007,0.0000652422,0.000114421,0.02635178,0.0007424039,0.0001006216,0.002623779,0.0000117887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930422,0.0001426292,0.001685841,0.00007290793,0.000008090234,0.000007755958,0.003766214,0.0001328347,0.001141521],"genre_scores_gemma":[0.9881037,0.0001094926,0.002185696,0.00001562339,0.000005954828,0.00001578204,0.008982621,0.00002592253,0.0005551691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01433356,"threshold_uncertainty_score":0.02850026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366570246884587,"score_gpt":0.2298387315933302,"score_spread":0.2061730291244844,"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."}}