{"id":"W4405983382","doi":"10.1029/2024ef005187","title":"Inference of Wildfire Causes From Their Physical, Biological, Social and Management Attributes","year":2025,"lang":"en","type":"article","venue":"Earth s Future","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"U.S. Forest Service; Joint Fire Science Program","keywords":"Inference; Environmental resource management; Environmental science; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006836552,0.0001255048,0.0002002792,0.00001770049,0.0001120431,0.00002163964,0.000159249,0.00007238278,0.0001257355],"category_scores_gemma":[0.00001302091,0.00008868615,0.00004364003,0.0001885302,0.0001600588,0.00007375602,0.0002181296,0.00009048134,0.00004759114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001365731,"about_ca_system_score_gemma":0.000003443712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000262285,"about_ca_topic_score_gemma":0.0001886635,"domain_scores_codex":[0.9993019,0.00006466571,0.000114249,0.0002543616,0.0001108099,0.0001539944],"domain_scores_gemma":[0.9996459,0.0001049378,0.00005790046,0.0001580719,0.000003170357,0.00003004553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006547212,0.0003823632,0.7937307,0.0001463552,0.0002338706,0.00001623411,0.002699981,0.00002795938,0.03339192,0.002044761,0.02024289,0.1470174],"study_design_scores_gemma":[0.0002174804,0.00005083234,0.9512318,0.00003765767,0.00001357429,1.911285e-7,0.0002415378,0.0002471001,0.00329903,0.0006482826,0.04390248,0.0001100084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997143,0.0002059011,0.00004117659,0.0005847258,0.0001724008,0.0002194043,0.00005589149,0.00003869431,0.00153884],"genre_scores_gemma":[0.9992294,0.0001194582,0.0001718109,0.0001717173,0.0001413017,0.00001419377,0.0000130383,0.000004098081,0.0001349553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1575011,"threshold_uncertainty_score":0.3616516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193425488181848,"score_gpt":0.2345727125791393,"score_spread":0.2226384576973209,"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."}}