{"id":"W2118297844","doi":"10.1046/j.1365-2699.2001.00612.x","title":"Stability of boreal forest stands during recent climate change: evidence from Landsat satellite imagery","year":2001,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Taiga; Ecotone; Normalized Difference Vegetation Index; Climate change; Satellite imagery; Physical geography; Vegetation (pathology); Tree line; Boreal; Geography; Environmental science; Climatology; Ecology; Ecosystem; Remote sensing; Forestry; Shrub; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009791745,0.000183753,0.0004031488,0.0004224103,0.0001001057,0.00006856269,0.0003167999,0.00008078019,0.0005074099],"category_scores_gemma":[0.0001528893,0.0001370681,0.0002831653,0.0007179928,0.0001635937,0.0006543279,0.00002732915,0.0002123194,0.00001310952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001004048,"about_ca_system_score_gemma":0.00004026713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00184711,"about_ca_topic_score_gemma":0.003191645,"domain_scores_codex":[0.9979228,0.0001811562,0.0007077083,0.0002089924,0.0005657566,0.0004135777],"domain_scores_gemma":[0.9981186,0.0005541543,0.000617951,0.0002662698,0.0002224899,0.0002204982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001764332,0.00004507048,0.9721437,0.00005394378,0.0000522539,0.000128004,0.0002047661,0.00001246463,0.0008924055,6.742587e-7,0.00001214917,0.02469026],"study_design_scores_gemma":[0.0004197079,0.0002586565,0.9953277,0.0003640864,0.00005625475,0.00007195956,0.0001881828,0.00003313625,0.002389784,0.0001013267,0.0006458376,0.0001434036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829327,0.01553799,0.000008715633,0.0003412828,0.0003252733,0.0001088527,0.0003925237,0.00002040056,0.0003322699],"genre_scores_gemma":[0.9173454,0.08161649,0.0008035616,0.00002772698,0.0001749247,4.211204e-7,0.00002511468,0.000005443318,8.994609e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0660785,"threshold_uncertainty_score":0.5589475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03857174475509164,"score_gpt":0.2552766599530619,"score_spread":0.2167049151979703,"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."}}