{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005908618,0.0002346506,0.0002745882,0.00002698482,0.0001072743,0.00003361022,0.0004033225,0.0001083885,0.0002667869],"category_scores_gemma":[0.000151409,0.0002143601,0.00008901596,0.00006014038,0.00008982811,0.0001914701,0.0001554854,0.0001805857,0.004143314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004807073,"about_ca_system_score_gemma":0.000007036039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0225163,"about_ca_topic_score_gemma":0.01381588,"domain_scores_codex":[0.9981207,0.0002148295,0.0003027735,0.0005382835,0.000372412,0.0004510609],"domain_scores_gemma":[0.9988308,0.0002742567,0.0002049312,0.0005237025,0.000006649821,0.0001596892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001735601,0.00005171309,0.8953934,0.00002676125,0.00001090693,0.000006872041,0.0007058651,0.0001122296,0.005133216,0.00003074159,0.09392027,0.004590635],"study_design_scores_gemma":[0.0006894016,0.00009487442,0.3873308,0.0001328049,0.00002054455,0.000004021726,0.00006234962,0.02620017,0.0001114404,0.000115396,0.5847692,0.0004689796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572893,0.0005358366,0.0004420258,0.0001577912,0.001198166,0.0002454347,0.000007246595,0.0001695685,0.03995466],"genre_scores_gemma":[0.9978915,0.00001347764,0.0007808155,0.0003440721,0.0003473893,0.00003646667,0.00002648939,0.00003742051,0.0005223377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5080627,"threshold_uncertainty_score":0.9966321,"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."}}