{"id":"W6963756561","doi":"10.18739/a2n29p731","title":"The Carbon Balance of Arctic River Deltas: Tundra Fire as an Agent of System Change, 2015-2016","year":2018,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tundra; Permafrost; Arctic; Climate change; Ecosystem; River delta; Delta; Taiga; Boreal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005877807,0.0001831902,0.0001782042,0.00064321,0.0006471231,0.00135069,0.0002717385,0.0002959695,0.0009916164],"category_scores_gemma":[0.0009119371,0.00009896296,0.0002579607,0.000924838,0.0003279774,0.0006369642,0.0007339833,0.0003800012,0.0001419356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002624259,"about_ca_system_score_gemma":0.001656419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1503681,"about_ca_topic_score_gemma":0.264531,"domain_scores_codex":[0.9998397,0.00002528366,0.00002278614,0.00003288033,0.00004887577,0.00003052704],"domain_scores_gemma":[0.9996137,0.00001628224,0.00009262378,0.00002086797,0.0001619404,0.00009458492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002772702,0.00004251257,0.9576557,0.0001170822,0.0001952194,0.0001949926,0.001574986,0.003708011,0.002606702,0.001413645,0.003627251,0.02858669],"study_design_scores_gemma":[0.00000943449,0.00003379626,0.9823112,0.00005649805,0.00003929729,0.00009795859,0.002358753,0.002834588,0.0007894932,0.0004078225,0.01104726,0.00001382798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9909508,0.0007350953,0.000193789,0.0009221251,0.00007898302,0.000007702138,0.003894574,0.00002524955,0.003191519],"genre_scores_gemma":[0.9964303,0.000373695,0.0002525486,0.00006610662,0.00003044635,0.000005608152,0.001789708,0.000009068944,0.001042592],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1503681,"threshold_uncertainty_score":0.2989857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116920466759226,"score_gpt":0.2183680202618127,"score_spread":0.1971988155942204,"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."}}