{"id":"W2317286977","doi":"10.5849/jof.12-897","title":"Understanding Natural Forest Diebacks","year":2014,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Natural forest; Forestry; Natural (archaeology); Agroforestry; Geography; Environmental science; Archaeology","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":[0.0002400528,0.0001653085,0.0001352332,0.0003944874,0.0003968186,0.001125708,0.000355693,0.0004472016,0.002967244],"category_scores_gemma":[0.000724602,0.0001459264,0.0000795074,0.0001811719,0.0004377263,0.001444331,0.0003669093,0.000380501,0.0002521105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006147174,"about_ca_system_score_gemma":0.0003750592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033943,"about_ca_topic_score_gemma":0.03111638,"domain_scores_codex":[0.9999204,0.00001197875,0.000003278596,0.00002316645,0.00001662575,0.00002456013],"domain_scores_gemma":[0.9997998,0.00005532751,0.00004559901,0.00001890748,0.00005353006,0.0000268563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392611,0.0003155381,0.6358276,0.0004120121,0.0001106463,0.0006583288,0.003855054,0.01504806,0.08046789,0.0306014,0.003532144,0.2289321],"study_design_scores_gemma":[0.00001000334,0.0001039936,0.8978958,0.0001538832,0.00005056451,0.000900041,0.008824811,0.0208014,0.007053049,0.04090475,0.02326806,0.00003378308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800524,0.0009401634,0.003809556,0.0003484163,0.00001815191,0.00001639579,0.0002460859,0.00002478986,0.01454407],"genre_scores_gemma":[0.9964946,0.0004229928,0.001132136,0.0000606276,0.000005455786,0.000004636244,0.0001355234,0.000006220777,0.001737743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01033943,"threshold_uncertainty_score":0.02055854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057486724346559,"score_gpt":0.2238396833145444,"score_spread":0.2032648160710788,"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."}}