{"id":"W2149961178","doi":"10.1088/1748-9326/6/4/045203","title":"Fire impact on carbon storage in light conifer forests of the Lower Angara region, Siberia","year":2011,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Nanyang Technological University","keywords":"Taiga; Larch; Environmental science; Scots pine; Carbon fibers; Boreal; Forestry; Atmospheric sciences; Intensity (physics); Physical geography; Ecology; Pinus <genus>; Geography; Geology; Materials science; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009126799,0.0002275343,0.0002175593,0.0000828225,0.0001080037,0.00001515831,0.0006786396,0.0001003031,0.001108203],"category_scores_gemma":[0.00006852279,0.0001543875,0.0001322457,0.0003034912,0.0006584174,0.000164015,0.0004262297,0.0005318471,0.0003792074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228442,"about_ca_system_score_gemma":0.00001046252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428295,"about_ca_topic_score_gemma":0.0003305117,"domain_scores_codex":[0.9968086,0.0006299455,0.0002834838,0.0004706869,0.001128918,0.0006783339],"domain_scores_gemma":[0.9987577,0.0001631772,0.00009747597,0.000826882,0.000001596485,0.0001531465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000325102,0.0007072739,0.8591145,0.00001609601,0.00002546021,0.0002480141,0.001707308,0.0004283355,0.128768,0.000006413239,0.0070814,0.001572105],"study_design_scores_gemma":[0.0004444716,0.0005109107,0.978944,0.00006771123,0.000003304342,0.00001068349,0.00005806289,0.0008448299,0.01832851,0.0000297751,0.0005810374,0.0001766925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938996,0.00004075828,0.000001441205,0.0006546179,0.0001703922,0.0007938526,0.000009240403,0.00001173142,0.004418353],"genre_scores_gemma":[0.9992879,0.000009970341,0.00001233285,0.0002314327,0.00003411529,0.0000572955,0.000002351138,0.00003949096,0.0003251156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1198296,"threshold_uncertainty_score":0.9998049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992847104702743,"score_gpt":0.2542644801908833,"score_spread":0.2343360091438559,"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."}}