{"id":"W4285404662","doi":"10.1002/ecs2.4159","title":"The North American tree‐ring fire‐scar network","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Thompson Rivers University; Natural Resources Canada; Canadian Forest Service; University of Guelph; University of British Columbia; Université du Québec à Montréal; Université du Québec en Abitibi-Témiscamingue","funders":"U.S. Geological Survey; National Oceanic and Atmospheric Administration","keywords":"Ecoregion; Boreal; Subtropics; Fire regime; Geography; Dendrochronology; Taiga; Range (aeronautics); Temperate climate; Fire ecology; Temperate rainforest; Ecology; Vegetation (pathology); Physical geography; Disturbance (geology); Climate change; Environmental science; Forestry; Ecosystem; Geology; Archaeology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003553219,0.0001295824,0.000137952,0.000002209125,0.001051173,0.00004646909,0.0005316338,0.00001035157,0.00373402],"category_scores_gemma":[0.00002036257,0.0001032909,0.00006999132,0.0005080217,0.0001038491,0.00007734357,0.000515357,0.0002298627,0.001946644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000306912,"about_ca_system_score_gemma":0.000008398711,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828539,"about_ca_topic_score_gemma":0.02263785,"domain_scores_codex":[0.9985487,0.0001837341,0.0001727272,0.0002850904,0.0003532084,0.0004564697],"domain_scores_gemma":[0.9991814,0.0001738396,0.0001252281,0.0004317191,0.000001979375,0.00008576868],"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":[0.00001882928,0.00003437832,0.2606988,0.000003133866,0.00002077533,0.00002413955,0.0001926931,0.101344,0.00002027012,0.00001537417,0.3895687,0.2480589],"study_design_scores_gemma":[0.0001300274,0.0001548222,0.432801,0.000002358464,0.000006865715,0.00001164154,0.0001949673,0.05492945,0.000005992162,0.00002499746,0.5115463,0.0001915534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490142,0.0001881874,0.00001152699,0.0003274763,0.0005387543,0.0002396086,0.000005316034,0.0000880132,0.0495869],"genre_scores_gemma":[0.9951385,0.00001717889,0.0001617412,0.0002544133,0.0001605632,0.000125338,0.000004128633,0.00002818029,0.004109924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2478673,"threshold_uncertainty_score":0.9988304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003388665011315035,"score_gpt":0.1753759530560658,"score_spread":0.1719872880447507,"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."}}