{"id":"W1498866614","doi":"10.1002/jgrg.20053","title":"Recent climate and fire disturbance impacts on boreal and arctic ecosystem productivity estimated using a satellite‐based terrestrial carbon flux model","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Environmental science; Boreal; Taiga; Chronosequence; Primary production; Atmospheric sciences; Ecosystem respiration; Climatology; Climate change; Boreal ecosystem; Vegetation (pathology); Arctic; Carbon cycle; Ecosystem; Forestry; Ecology; Geography; Soil water; Oceanography; Geology","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":[0.0007152638,0.0006677252,0.0003003327,0.0003642986,0.00037239,0.0006340496,0.0005531239,0.0004665077,0.0004920904],"category_scores_gemma":[0.000726491,0.0003190712,0.0006915767,0.0003326874,0.0003091098,0.0004583946,0.0001909067,0.0002691525,0.00007197637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273633,"about_ca_system_score_gemma":0.0006395714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.104951,"about_ca_topic_score_gemma":0.0616324,"domain_scores_codex":[0.9998767,0.00003605165,0.00001059258,0.00004044534,0.00001655209,0.0000195436],"domain_scores_gemma":[0.9996542,0.0001260225,0.00006360043,0.0000352977,0.00008014814,0.00004065609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000230595,0.0001266668,0.09025156,0.00001845341,0.0002135076,0.00007684553,0.00002746225,0.9040002,0.001838933,0.0002159482,0.0002628451,0.002737033],"study_design_scores_gemma":[0.00004098187,0.00007369276,0.03932932,0.000004875747,0.00005584585,0.00002275705,0.00001938446,0.9596129,0.0005772799,0.00008685118,0.000165105,0.00001099137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982545,0.00002928798,0.0007940934,0.0000200169,0.00000633531,0.000006004979,0.0003711954,0.00004374633,0.0004749845],"genre_scores_gemma":[0.9987067,0.0000209268,0.0007809166,0.000005053469,0.000002850283,0.000008977898,0.000382034,0.000004108049,0.00008846581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104951,"threshold_uncertainty_score":0.2086803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828242188106468,"score_gpt":0.3190903196059405,"score_spread":0.2708078977248758,"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."}}