{"id":"W2761855941","doi":"","title":"A Quarter-Century U.S. Forest Disturbance History Mapped from Landsat","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Quarter (Canadian coin); Geography; Remote sensing; Forestry; Physical geography; Archaeology; Geology","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":[0.0001264075,0.0001550118,0.00008631648,0.00146344,0.0003027704,0.0003769806,0.0001427716,0.0002207139,0.002075094],"category_scores_gemma":[0.0002972494,0.0001028926,0.0001415488,0.002639733,0.00009559861,0.0003714109,0.0002849898,0.0002996926,0.000587464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004636213,"about_ca_system_score_gemma":0.0004940793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1418763,"about_ca_topic_score_gemma":0.378823,"domain_scores_codex":[0.9999537,0.000004055454,0.00000366551,0.00001435077,0.0000121136,0.00001195726],"domain_scores_gemma":[0.9997305,0.0000184152,0.00005452489,0.0000236124,0.0001332388,0.0000395726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003252107,0.000156503,0.7434812,0.0002282595,0.0001747158,0.0003992635,0.000925297,0.003300559,0.005222843,0.00118275,0.1340849,0.1105185],"study_design_scores_gemma":[0.000004702915,0.00001119098,0.9659033,0.0000399364,0.00002153317,0.0001020084,0.0003922325,0.000831259,0.0003685961,0.00008096387,0.03223652,0.000007763068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8643125,0.00145733,0.0007419154,0.00104235,0.0001923653,0.00001727718,0.121036,0.0001692948,0.01103108],"genre_scores_gemma":[0.9165908,0.001006163,0.001762105,0.0002198147,0.00005988786,0.00002525085,0.07547644,0.00004408079,0.004815339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1418763,"threshold_uncertainty_score":0.282101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004842320538298084,"score_gpt":0.1735042032155582,"score_spread":0.1686618826772601,"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."}}