{"id":"W6963750872","doi":"10.18739/a2542jb0z","title":"Arctic-Boreal Vulnerability Experiment (ABoVE): Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019","year":2022,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Taiga; Fire regime; Combustion; Carbon cycle; Hydrology (agriculture); Ecosystem; Vulnerability (computing); Prescribed burn","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":[0.0006024537,0.001135307,0.000700836,0.001867379,0.001218762,0.001159641,0.002033328,0.0005458483,0.007260756],"category_scores_gemma":[0.001641939,0.0004789809,0.0005974171,0.005231667,0.0003625966,0.000584634,0.0008116443,0.000801818,0.004831127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007813131,"about_ca_system_score_gemma":0.01186264,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9314627,"about_ca_topic_score_gemma":0.9619752,"domain_scores_codex":[0.9995576,0.00002463901,0.00003310929,0.000103294,0.0001967353,0.00008467356],"domain_scores_gemma":[0.9975463,0.0001028949,0.0001915963,0.0001975563,0.001651375,0.0003103608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002554118,0.0001221484,0.04416646,0.0003621013,0.0001781331,0.000095373,0.0001623564,0.002511773,0.0002560127,0.0008047047,0.9444158,0.006669768],"study_design_scores_gemma":[0.0005372824,0.00005102895,0.3784984,0.000428939,0.0001360777,0.0001358108,0.001015052,0.006547173,0.001387571,0.0007802711,0.6103222,0.0001602467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003270558,0.00004165792,0.00004685652,0.00003564989,0.00001078971,0.00001135708,0.9959291,0.00009685433,0.0005571411],"genre_scores_gemma":[0.003969371,0.00004047052,0.0002584309,0.0000155983,0.000002824097,0.00003941959,0.9947924,0.00002106914,0.0008603833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06853729,"threshold_uncertainty_score":0.1378818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008395975346025887,"score_gpt":0.2059979105196201,"score_spread":0.1976019351735943,"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."}}