{"id":"W3210175886","doi":"10.1111/gcb.15927","title":"Warming increased bark beetle‐induced tree mortality by 30% during an extreme drought in California","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Los Alamos National Laboratory; North Carolina State University","keywords":"Bark beetle; Mountain pine beetle; Voltinism; Dendroctonus; Overwintering; Climate change; Biology; Bark (sound); Ecology; Population; Global warming; Larva; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003742449,0.000220151,0.0002193862,0.0002353197,0.0003470982,0.0003786321,0.0003202653,0.0002060072,0.0006760934],"category_scores_gemma":[0.0004228254,0.0001489974,0.0002544447,0.0002060939,0.0001574833,0.0001886952,0.0003176826,0.0002984802,0.00004633491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008867008,"about_ca_system_score_gemma":0.0003663934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07342815,"about_ca_topic_score_gemma":0.1267458,"domain_scores_codex":[0.9998871,0.00001853885,0.000006923329,0.00004826476,0.00001890418,0.00002016377],"domain_scores_gemma":[0.9997004,0.00005866362,0.0001018245,0.00002331809,0.00005746804,0.00005842711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004110502,0.000192887,0.9764819,0.00007375673,0.0003250584,0.0001134261,0.0002659668,0.00861029,0.006632737,0.0001144503,0.00105767,0.005720812],"study_design_scores_gemma":[0.00001090655,0.0001047693,0.994387,0.000008355058,0.00005442776,0.00002237943,0.0001949118,0.004327522,0.0003891231,0.00004871081,0.000444933,0.000007008616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99898,0.0001068719,0.0001710711,0.00003198862,0.000007332174,0.000004088577,0.000323488,0.00001632199,0.0003588533],"genre_scores_gemma":[0.9994693,0.00006558299,0.00008387792,0.00001444234,0.000003770511,0.000004573641,0.0002670171,0.000001598206,0.00008988247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07342815,"threshold_uncertainty_score":0.1460015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04237461930114179,"score_gpt":0.2706601813738336,"score_spread":0.2282855620726918,"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."}}