{"id":"W2786329553","doi":"10.3334/ornldaac/596","title":"BOREAS Follow-On DSP-09 Saskatchewan Raster Forest Fire Chronology, 1945-1996","year":2012,"lang":"en","type":"dataset","venue":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raster graphics; Chronology; Set (abstract data type); Data set; Computer science; Wildlife; Geography; Cartography; Database; Forestry; Computer graphics (images); Archaeology; Ecology; Artificial intelligence; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004594057,0.001131059,0.0007434538,0.003452884,0.0007164085,0.001254527,0.001619677,0.0005525411,0.02386557],"category_scores_gemma":[0.001558167,0.0005928747,0.0004772198,0.00721957,0.0002359556,0.0006715514,0.0007827105,0.0009745664,0.02179405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004375391,"about_ca_system_score_gemma":0.006723738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5720305,"about_ca_topic_score_gemma":0.835422,"domain_scores_codex":[0.9996545,0.00002196213,0.00003961966,0.00008785396,0.0001114166,0.00008464867],"domain_scores_gemma":[0.9982464,0.00008497024,0.0001704463,0.0003187827,0.001018941,0.0001604564],"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":[0.0001512103,0.00005405155,0.01516069,0.0002308157,0.00008122802,0.00007012945,0.00007887513,0.0008255412,0.0003680461,0.0005998172,0.9767314,0.005648239],"study_design_scores_gemma":[0.0002903006,0.00001705709,0.127032,0.0002249239,0.00005403834,0.00007046296,0.0003846204,0.001295288,0.001660798,0.0006976213,0.8682059,0.00006700591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007610072,0.000008537128,0.00003190829,0.00001262778,0.000005297043,0.00001215802,0.9984462,0.00008034001,0.0006420138],"genre_scores_gemma":[0.001318841,0.00001491757,0.0001773463,0.00001147541,0.000001367349,0.00005777608,0.997209,0.00002362321,0.001185593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4279695,"threshold_uncertainty_score":0.8609797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006218365129681777,"score_gpt":0.2268321359832949,"score_spread":0.2206137708536131,"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."}}