{"id":"W2972020684","doi":"10.1111/nph.16173","title":"Tree defence and bark beetles in a drying world: carbon partitioning, functioning and modelling","year":2019,"lang":"en","type":"review","venue":"New Phytologist","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Bark beetle; Ecology; Climate change; Bark (sound); Ecosystem; Tree (set theory); Vegetation (pathology); Disturbance (geology); Forest ecology; Biogeochemical cycle; Biology; Environmental science","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":[0.0005186684,0.000795294,0.001290165,0.001632239,0.0002163915,0.000856444,0.0008693227,0.001167553,0.001793279],"category_scores_gemma":[0.0005642906,0.000378523,0.0005933481,0.001785407,0.000440031,0.00122048,0.0005422351,0.001130905,0.0009176816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005634156,"about_ca_system_score_gemma":0.0009997188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255021,"about_ca_topic_score_gemma":0.004272669,"domain_scores_codex":[0.9998918,0.00002424718,0.00001482738,0.00002327254,0.00003386971,0.00001206214],"domain_scores_gemma":[0.9998009,0.0001005359,0.00003411641,0.000008840792,0.00003541802,0.00002030443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007356505,0.00009400916,0.0004756187,0.03104944,0.0002612272,0.0001960009,0.0001394308,0.007518294,0.002903599,0.01944564,0.01914682,0.9186965],"study_design_scores_gemma":[0.00002387952,0.0001754159,0.003059073,0.007508097,0.0003146455,0.0008306047,0.0001241685,0.002300923,0.0009328329,0.01639796,0.9682752,0.00005717363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002673966,0.9986377,0.0003010449,0.0001577395,0.00005475621,0.000002755925,0.00001513872,0.000005754215,0.0005577424],"genre_scores_gemma":[0.001899378,0.9971285,0.0004123237,0.00007065832,0.00007646561,0.000006455217,0.00002873362,0.000002249475,0.0003752369],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003255021,"threshold_uncertainty_score":0.006472111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05037821134220004,"score_gpt":0.2779382170965776,"score_spread":0.2275600057543775,"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."}}