{"id":"W4283033598","doi":"10.1111/gcb.16307","title":"Subarctic soil carbon losses after deforestation for agriculture depend on permafrost abundance","year":2022,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Deutsche Forschungsgemeinschaft","keywords":"Permafrost; Subarctic climate; Deforestation (computer science); Environmental science; Soil carbon; Abundance (ecology); Carbon fibers; Agriculture; Agroforestry; Soil science; Ecology; Soil water; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001448654,0.0002422943,0.000184022,0.0005396437,0.0002590419,0.0004019007,0.0001461903,0.0001288243,0.001240358],"category_scores_gemma":[0.0001808092,0.00007492842,0.0002073931,0.0006778797,0.00018686,0.0002195,0.0002121939,0.0001320493,0.0002154774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005025206,"about_ca_system_score_gemma":0.0002724812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281472,"about_ca_topic_score_gemma":0.05070135,"domain_scores_codex":[0.9999164,0.000007491637,0.000008713921,0.00002445054,0.00001886084,0.00002410773],"domain_scores_gemma":[0.9998049,0.00002204509,0.00008869816,0.00001609203,0.00004231002,0.00002602605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000971761,0.000018249,0.9691625,0.0000437779,0.0001322443,0.0001457921,0.0001303923,0.000317068,0.01932805,0.00002932267,0.00009323818,0.0105022],"study_design_scores_gemma":[3.711531e-7,0.00000368312,0.9996711,6.982995e-7,0.000003767264,0.00001433299,0.00002983101,0.00003578439,0.0001759178,0.000004058718,0.00006009932,4.683723e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988616,0.0002833401,0.00006262757,0.000009573174,0.0000016095,0.000001714694,0.0002825238,0.000008408331,0.0004885161],"genre_scores_gemma":[0.9990488,0.0002277929,0.0000698139,0.00001037998,0.000002385929,0.00000248798,0.000429891,0.000002482858,0.0002059715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02281472,"threshold_uncertainty_score":0.04536384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03980270926758018,"score_gpt":0.261337868204876,"score_spread":0.2215351589372959,"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."}}