{"id":"W4240528163","doi":"10.5194/essd-2021-272","title":"The Reading Palaeofire database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Université Laval; Natural Resources Canada; Canadian Forest Service; University of Ottawa; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"European Research Council; Deutsche Forschungsgemeinschaft; Natural Environment Research Council; Sight Research UK; Leverhulme Trust","keywords":"Database; Charcoal; Metadata; Radiocarbon dating; Sedimentary rock; Computer science; Archaeology; Geography; World Wide Web; Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00205634,0.001099113,0.001247206,0.01500339,0.0004517665,0.00170296,0.002034693,0.000956895,0.06053403],"category_scores_gemma":[0.009718021,0.0007119943,0.0004021874,0.01498967,0.0003172976,0.0022716,0.00200303,0.0007726052,0.03926041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000838433,"about_ca_system_score_gemma":0.001747519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03745821,"about_ca_topic_score_gemma":0.03710904,"domain_scores_codex":[0.9988674,0.00008850806,0.0002503694,0.0002760761,0.000437239,0.00008044308],"domain_scores_gemma":[0.9923534,0.001707683,0.001324617,0.001939486,0.002303073,0.0003718547],"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":[0.0002578994,0.00006730029,0.01905472,0.002260131,0.0001240442,0.0003705467,0.001044729,0.0008655671,0.002632491,0.002657268,0.8378423,0.1328229],"study_design_scores_gemma":[0.00008301024,0.00002387528,0.06128227,0.0004753553,0.00005487673,0.000262205,0.0002395521,0.0005988291,0.001594651,0.001168206,0.9341421,0.00007511755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00600607,0.0004520111,0.001829769,0.0001202351,0.00003032687,0.00006578664,0.9765449,0.003675713,0.01127532],"genre_scores_gemma":[0.007500225,0.0003319153,0.007336316,0.00004205497,0.0000277703,0.0002219827,0.9796165,0.001156932,0.003766375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06053403,"threshold_uncertainty_score":0.2025065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735480909758533,"score_gpt":0.2896037545745018,"score_spread":0.2622489454769165,"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."}}