{"id":"W4385552950","doi":"10.1007/s00334-023-00939-9","title":"The first annually resolved analysis of slash-and-burn practices in the boreal Eurasia suggests their strong climatic and socio-economic controls","year":2023,"lang":"en","type":"article","venue":"Vegetation History and Archaeobotany","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Sveriges Lantbruksuniversitet; European Commission; Natural Sciences and Engineering Research Council of Canada; Eesti Teadusagentuur; Critical Ecosystem Partnership Fund","keywords":"Arable land; Geography; Boreal; Population; Agriculture; Slash-and-burn; Physical geography; Socioeconomics; Ecology; Demography; Archaeology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004471258,0.0001759664,0.0001729621,0.0006510433,0.0002364999,0.0004336342,0.0002979624,0.0001828855,0.0007796357],"category_scores_gemma":[0.0005516128,0.00009948231,0.0001966972,0.0005632073,0.0002134489,0.0003149606,0.0003113757,0.0001570324,0.0001125886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995306,"about_ca_system_score_gemma":0.0001493519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488474,"about_ca_topic_score_gemma":0.02810631,"domain_scores_codex":[0.9998751,0.00003122446,0.00001195078,0.00003878787,0.00001528006,0.00002776309],"domain_scores_gemma":[0.9994724,0.00007262147,0.0002401339,0.00005108681,0.0000853566,0.00007845815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004592214,0.00001924901,0.9916659,0.0000124163,0.00004589395,0.00007643949,0.0003012663,0.0001595547,0.002203709,0.00005271732,0.0000918962,0.005325187],"study_design_scores_gemma":[5.43526e-7,0.00001276702,0.9995593,0.000001205794,0.000003730279,0.00001933302,0.00007269916,0.0001473722,0.00003141152,0.000007107318,0.0001433707,0.000001169982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991142,0.00007308977,0.0001654897,0.000009293411,0.000001696142,0.000001964713,0.0002002095,0.000005633289,0.0004285458],"genre_scores_gemma":[0.9993972,0.00002077452,0.0002124796,0.000005113231,0.000004486489,0.000002089039,0.0002522233,0.000001786594,0.0001037238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01488474,"threshold_uncertainty_score":0.02959621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631303015347144,"score_gpt":0.2446914005829776,"score_spread":0.2283783704295061,"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."}}