{"id":"W4380285883","doi":"10.3390/f14061146","title":"Power Distribution System Faults and Wildfires: Mechanisms and Prevention","year":2023,"lang":"en","type":"article","venue":"Forests","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overhead (engineering); Natural disaster; Power (physics); Distribution (mathematics); Computer science; Critical infrastructure; Risk analysis (engineering); Computer security; Environmental resource management; Environmental science; Forensic engineering; Engineering; Business; Meteorology; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003191658,0.00008849859,0.00009276547,0.00001822078,0.0001042505,0.00002798464,0.00006232112,0.0000588098,0.00002950251],"category_scores_gemma":[0.0000306338,0.00007875731,0.00001807914,0.0001582685,0.00003976393,0.0001643542,0.0001260394,0.00004094513,0.0004454665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008906328,"about_ca_system_score_gemma":0.000002258081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002339095,"about_ca_topic_score_gemma":0.0005528631,"domain_scores_codex":[0.9992267,0.00004852333,0.0001132621,0.0002336608,0.0001949517,0.0001828298],"domain_scores_gemma":[0.9997125,0.00003448762,0.00004706493,0.0001283768,0.000002435303,0.0000751875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001268784,0.0001118156,0.8999773,0.0007813897,0.00007435164,0.0001832133,0.001717174,0.0004001256,0.01817323,0.01641667,0.02484078,0.03719705],"study_design_scores_gemma":[0.0002668098,0.00014008,0.9777033,0.00009728898,0.0000069982,0.00003101506,0.00008337903,0.01896894,0.0003329583,0.001231778,0.001022981,0.0001144468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973446,0.00002141756,0.001451327,0.00005756498,0.0001879579,0.0003316078,0.00002038828,0.00016505,0.0004200771],"genre_scores_gemma":[0.999529,0.000004398602,0.00004731474,0.000006558778,0.00001276582,0.00003438227,0.0000440486,0.00001032767,0.0003112014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07772601,"threshold_uncertainty_score":0.5725719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00434556794911446,"score_gpt":0.2085170458309896,"score_spread":0.2041714778818752,"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."}}