{"id":"W2973449919","doi":"10.1371/journal.pone.0222011","title":"Human-induced fire regime shifts during 19th century industrialization: A robust fire regime reconstruction using northern Polish lake sediments","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Stichting voor de Technische Wetenschappen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Narodowym Centrum Nauki; Helmholtz-Gemeinschaft","keywords":"Arson; Fire regime; Climate change; Environmental science; Vegetation (pathology); Biomass (ecology); Physical geography; Temperate climate; Industrialisation; Global change; Ecology; Fire ecology; Geography; Ecosystem; Archaeology; Biology","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":[0.000445574,0.0004323332,0.0004017404,0.00185781,0.0004517247,0.000907136,0.0003614624,0.000382751,0.0009366812],"category_scores_gemma":[0.0007519481,0.0003186101,0.0007408426,0.001962304,0.0003068378,0.0004975498,0.0008269295,0.0002216462,0.0003309371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003356,"about_ca_system_score_gemma":0.0005872516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03578635,"about_ca_topic_score_gemma":0.04820036,"domain_scores_codex":[0.9997748,0.000025979,0.00002906653,0.00007788049,0.00002855097,0.00006373532],"domain_scores_gemma":[0.9997547,0.00002358839,0.00007171137,0.00004265835,0.00007709474,0.00003021692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002978101,0.00007965553,0.9508442,0.0001080183,0.0004066023,0.0004724266,0.0005575258,0.009402738,0.009944168,0.0002470666,0.000682672,0.02695707],"study_design_scores_gemma":[0.00001180525,0.00001429513,0.9859281,0.00001531021,0.00007931149,0.00005752918,0.0001749893,0.01197073,0.0006867661,0.00006771654,0.0009776156,0.00001594654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973649,0.0001778164,0.0009474712,0.00002417869,0.000003384986,0.000006048333,0.001051363,0.00004445343,0.0003803459],"genre_scores_gemma":[0.9960731,0.00009348453,0.0009633875,0.000007957226,0.000007539457,0.00001171593,0.0025785,0.00002117932,0.0002431318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03578635,"threshold_uncertainty_score":0.07115614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574464324225639,"score_gpt":0.2121768995353788,"score_spread":0.1764322562931224,"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."}}