{"id":"W1597504117","doi":"10.1023/a:1004150525384","title":"Challenges and opportunities for conservation of forest genetic resources","year":2001,"lang":"en","type":"article","venue":"Euphytica","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Forest Service; Seagen (Canada); Dalhousie University","funders":"","keywords":"Agroforestry; Intact forest landscape; Forest restoration; Biodiversity; Biology; Ex situ conservation; Genetic diversity; Forest management; Population; Forest ecology; Conservation genetics; In situ conservation; Sustainability; Ecology; Environmental resource management; Ecosystem; Endangered species; Environmental science; Habitat","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009686752,0.00004454599,0.00006338206,0.00001617658,0.00004264285,0.000003057397,0.00005334171,0.00002530726,0.0001410206],"category_scores_gemma":[0.00001866551,0.00004124676,0.00001349388,0.00001820396,0.0001754489,0.00004376815,0.0000485288,0.00001573012,0.000007713639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008925173,"about_ca_system_score_gemma":0.00000194816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002190392,"about_ca_topic_score_gemma":0.0005514763,"domain_scores_codex":[0.9996567,0.0000128816,0.00008615194,0.00009882145,0.00005083717,0.00009456278],"domain_scores_gemma":[0.9997928,0.00005740093,0.00003537373,0.00008548104,0.000004031573,0.00002496286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000418986,0.0004463537,0.337532,0.0003908321,0.0001307023,0.00005894369,0.006925433,0.0009694691,0.001008103,0.1332087,0.02931773,0.4895927],"study_design_scores_gemma":[0.0001874362,0.000160807,0.8347866,0.000006289086,0.00001186704,0.000005186495,0.0002847945,0.0006666492,0.00002552873,0.00842761,0.1553844,0.0000528246],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9584213,0.0003968939,0.0002096099,0.001735815,0.00004072911,0.0001651034,0.000001270912,0.00001223401,0.03901704],"genre_scores_gemma":[0.9960117,0.001508749,0.0009046348,0.0003268589,0.00001683256,0.00002979351,0.000001256851,0.000004229285,0.001195923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4972546,"threshold_uncertainty_score":0.1681994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06168017758473408,"score_gpt":0.2371832186910163,"score_spread":0.1755030411062822,"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."}}