{"id":"W6965154908","doi":"10.3389/ffgc.2022.965605.s011","title":"Table_6_Assessing the broadscale effects of wildfire under extreme drought conditions to boreal peatlands.xlsx","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peat; Boreal; Taiga; Bog; Fire ecology; Ecosystem; Wetland; Soil carbon; Fire regime","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003943566,0.0005735797,0.0004591879,0.001844369,0.0006588265,0.001047833,0.0008466093,0.0002613784,0.5552577],"category_scores_gemma":[0.002249108,0.0002678712,0.0005010659,0.002734976,0.0001061909,0.001037385,0.0005400543,0.0003543799,0.06013989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004851496,"about_ca_system_score_gemma":0.0007619859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882759,"about_ca_topic_score_gemma":0.04464544,"domain_scores_codex":[0.9998384,0.00001393655,0.00002095898,0.00002679969,0.00007805759,0.00002183482],"domain_scores_gemma":[0.9983959,0.0006567219,0.0001567085,0.00006548138,0.0005842563,0.000140881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001118395,0.00005492209,0.008747129,0.00136187,0.00003748717,0.00007535148,0.000102891,0.0004416324,0.0007619075,0.0005466901,0.9634755,0.02428275],"study_design_scores_gemma":[0.0004147834,0.0001916554,0.1854214,0.0009705214,0.00005082683,0.0002216665,0.0007644258,0.001168747,0.001852753,0.001920785,0.8069713,0.00005108117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00212765,0.00009049898,0.0003082285,0.0001526779,0.0001182822,0.0001396828,0.9769852,0.0009445386,0.01913318],"genre_scores_gemma":[0.02048594,0.0005187811,0.006654392,0.0003347587,0.0001719862,0.0005526284,0.9248614,0.001220409,0.04519973],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5552577,"threshold_uncertainty_score":0.6343709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952695504682575,"score_gpt":0.2470759225909912,"score_spread":0.2275489675441655,"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."}}