{"id":"W7094953572","doi":"10.6073/pasta/0aad7b4ce615a93ddebbb3e9c73386bb","title":"Fire Self-Limitation (FiSL) Experiment: Quantifying Wildfire Carbon Combustion Losses in boreal Deciduous and Mixed Forests in Interior Alaska and the Boreal Cordillera II: Tree Inventory Data 2022","year":2025,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Boreal; Deciduous; Tree (set theory); Combustion; Christmas tree; Combustibility","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005012137,0.0004590864,0.0006953495,0.0002195538,0.0001670166,0.00006133108,0.0006735952,0.0002896313,0.00001309284],"category_scores_gemma":[0.0008411233,0.0003897783,0.0000311914,0.0001673731,0.0005586518,0.0004651973,0.003475426,0.0007880066,0.000001387328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000291322,"about_ca_system_score_gemma":0.0001083603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004022454,"about_ca_topic_score_gemma":0.00641529,"domain_scores_codex":[0.9972175,0.0003921687,0.0006211781,0.0009988276,0.0004387764,0.0003315871],"domain_scores_gemma":[0.9971507,0.0009117728,0.0003124112,0.001495384,0.000005696337,0.0001240032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00256851,0.001359423,0.1546369,0.0005120597,0.0005576215,0.0007169495,0.003046127,0.000004117579,0.00001772391,0.000008800846,0.8188538,0.01771799],"study_design_scores_gemma":[0.01874301,0.001113321,0.9193067,0.004679814,0.001275047,0.0001107723,0.008476223,0.01618268,0.0001600759,0.00004979581,0.02882995,0.001072624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3041857,0.004377478,0.000002924655,0.0002204244,0.0001389096,0.0009566966,0.6900113,0.00001965166,0.00008693858],"genre_scores_gemma":[0.395601,0.006271933,0.00009813387,0.0001910278,0.00005567397,0.00006897808,0.5976948,0.0000144242,0.000004081058],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7900238,"threshold_uncertainty_score":0.9998554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893560446691873,"score_gpt":0.3011759452843112,"score_spread":0.2522403408173925,"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."}}