{"id":"W2296220891","doi":"10.1109/pes.2004.1372748","title":"Hurricane Juan","year":2004,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2004.","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Backup; Power (physics); Hurricane katrina; Natural disaster; Aeronautics; Meteorology; Engineering; Geography; Archaeology","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":[0.000180158,0.0003603079,0.0001368578,0.0004810931,0.002490121,0.001099401,0.0001766284,0.0003911408,0.009690851],"category_scores_gemma":[0.0006650359,0.0001092569,0.0001539239,0.0004338657,0.0003993229,0.0001794121,0.0007369088,0.000570643,0.001351188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004563769,"about_ca_system_score_gemma":0.004534136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6819755,"about_ca_topic_score_gemma":0.868946,"domain_scores_codex":[0.9997793,0.00001218962,0.000003429739,0.00002786988,0.00009765195,0.00007958507],"domain_scores_gemma":[0.9997019,0.00001369566,0.00002511203,0.00001083903,0.0001638072,0.00008450547],"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":[0.0005100598,0.00003878833,0.09198643,0.000271577,0.0000814838,0.003991599,0.002703902,0.002626541,0.006706882,0.01428313,0.7878935,0.08890613],"study_design_scores_gemma":[0.00002529332,0.00005905591,0.1672535,0.0002074768,0.00002804847,0.0009833679,0.003844442,0.001247789,0.001400658,0.001222802,0.8236864,0.00004124199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2500738,0.005203871,0.001441971,0.01958886,0.003036184,0.0001553027,0.004647334,0.0002826589,0.71557],"genre_scores_gemma":[0.4933832,0.004134378,0.001133605,0.003408964,0.0002358867,0.00003535654,0.002570953,0.00006952247,0.4950282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6819755,"threshold_uncertainty_score":0.6397948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003428546177070442,"score_gpt":0.1958513556695362,"score_spread":0.1924228094924657,"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."}}