{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887262,0.0004702545,0.0002875537,0.001196307,0.0002360039,0.0005806753,0.0004328788,0.0003813354,0.001015393],"category_scores_gemma":[0.00283382,0.0002294669,0.0005394267,0.0004903086,0.0001909404,0.0005935549,0.0003475093,0.0005789401,0.0002023174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006491316,"about_ca_system_score_gemma":0.0005412739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03045884,"about_ca_topic_score_gemma":0.04799775,"domain_scores_codex":[0.9998202,0.00004064668,0.00001688962,0.00007485736,0.00002159311,0.00002590339],"domain_scores_gemma":[0.9987372,0.0007263136,0.0002223952,0.00007874242,0.0001621466,0.00007321348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001055853,0.0003328945,0.7446911,0.00002506244,0.000127838,0.0001111099,0.00006199104,0.2229721,0.0006209177,0.0004549894,0.001008684,0.02948782],"study_design_scores_gemma":[0.00000930708,0.00003162046,0.115053,0.00001437388,0.00002792648,0.00003849747,0.00008074738,0.8827199,0.000367745,0.00132573,0.0003217577,0.000009435614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864152,0.0001177965,0.01122545,0.0001652464,0.00001804742,0.00002362452,0.0009924787,0.0001168643,0.0009252731],"genre_scores_gemma":[0.9972156,0.00002889403,0.001815978,0.0000160922,0.000006393847,0.000007565444,0.0007006802,0.000002856382,0.0002058445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03045884,"threshold_uncertainty_score":0.06056309,"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."}}