{"id":"W2995577867","doi":"10.1111/eva.12902","title":"Forest genomics: Advancing climate adaptation, forest health, productivity, and conservation","year":2019,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"","keywords":"Threatened species; Biology; Biodiversity; Deforestation (computer science); Climate change; Productivity; Ecosystem services; Ecology; Forest ecology; Endangered species; Agroforestry; Environmental resource management; Adaptation (eye); Habitat; Ecosystem","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":[0.004324949,0.0008786601,0.001159276,0.001307959,0.0009347533,0.005095057,0.001716799,0.004156576,0.01310065],"category_scores_gemma":[0.008266698,0.0003705397,0.0006897815,0.002431087,0.001526264,0.005994457,0.002566224,0.005679218,0.004206121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339283,"about_ca_system_score_gemma":0.001921878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175563,"about_ca_topic_score_gemma":0.001780374,"domain_scores_codex":[0.998558,0.0004573098,0.00009189833,0.0002650684,0.000411169,0.0002166225],"domain_scores_gemma":[0.9943637,0.003205412,0.0003780996,0.0003194204,0.0007253297,0.001007992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001301499,0.00007713672,0.002118595,0.003238059,0.0001281897,0.0002740481,0.0007569437,0.0008034197,0.01433442,0.04014266,0.2693824,0.668614],"study_design_scores_gemma":[0.00001458621,0.000058907,0.00248557,0.0008825797,0.0000502879,0.0003251378,0.0003657663,0.000471981,0.001500029,0.04645786,0.947351,0.00003618732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009072999,0.6191203,0.03668954,0.2293665,0.05572466,0.0001048858,0.002285643,0.002381303,0.0452542],"genre_scores_gemma":[0.05787762,0.7163053,0.05717412,0.06736682,0.06408743,0.0001671412,0.004692584,0.001198328,0.03113073],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01310065,"threshold_uncertainty_score":0.04382604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007473994075895873,"score_gpt":0.2202539203178925,"score_spread":0.2127799262419966,"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."}}