{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579878,0.0004211429,0.0003348112,0.001343425,0.000410107,0.001400183,0.000639097,0.0008363609,0.002030311],"category_scores_gemma":[0.001007536,0.0001851558,0.0003223821,0.000468797,0.0008017971,0.0011702,0.0005245136,0.0005420966,0.0002792152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005901108,"about_ca_system_score_gemma":0.0007128124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0027103,"about_ca_topic_score_gemma":0.003725358,"domain_scores_codex":[0.9997591,0.00004303142,0.00001752152,0.00004417515,0.00008367857,0.00005250152],"domain_scores_gemma":[0.9990958,0.0001870605,0.0004447314,0.00004106063,0.0001600212,0.00007128593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003677162,0.0007935077,0.2496789,0.003220231,0.0003332155,0.003628901,0.001418804,0.01211972,0.02369584,0.03054775,0.005015582,0.6691798],"study_design_scores_gemma":[0.0001319742,0.001773571,0.6992601,0.005999892,0.0006604912,0.01562107,0.009356669,0.03661631,0.03704416,0.07502402,0.1183015,0.0002103613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6512535,0.2251481,0.05714358,0.008370737,0.0006995836,0.0003415327,0.0005100033,0.0004696697,0.05606347],"genre_scores_gemma":[0.9585868,0.03325232,0.003981858,0.0002074302,0.0001487447,0.0000283602,0.0001019637,0.000007461262,0.003685006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0027103,"threshold_uncertainty_score":0.006792068,"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."}}