{"id":"W2757548980","doi":"10.1108/ijdrbe-10-2014-0072","title":"Tornado mitigation network analysis and simulation","year":2017,"lang":"en","type":"article","venue":"International Journal of Disaster Resilience in the Built Environment","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Tornado; Warning system; Computer science; Process (computing); Probabilistic logic; Emergency management; Risk analysis (engineering); Operations research; Computer security; Engineering; Geography; Business; Telecommunications; Meteorology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000568123,0.0005200357,0.0003981043,0.0009863597,0.0008334971,0.001295659,0.001093669,0.0005987635,0.005330321],"category_scores_gemma":[0.002395837,0.0002157021,0.000711687,0.001107301,0.0007244325,0.001035701,0.0009705843,0.0005905117,0.0003770762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004264635,"about_ca_system_score_gemma":0.004349193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3517724,"about_ca_topic_score_gemma":0.2627243,"domain_scores_codex":[0.9996266,0.0001446177,0.00001147007,0.00006077728,0.00007722186,0.0000792729],"domain_scores_gemma":[0.9992172,0.0003772924,0.00009892922,0.00007175583,0.0001951771,0.00003954096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001424255,0.000009601084,0.002399369,0.00003905934,0.000016471,0.00004449988,0.0001324262,0.976109,0.0002099947,0.01647777,0.0004974941,0.004050083],"study_design_scores_gemma":[0.000004599604,0.00001223282,0.001313218,0.00002694555,0.00001174703,0.00001845937,0.0003457963,0.985949,0.0002386186,0.006848304,0.005219867,0.00001109373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2780806,0.0007374414,0.6078326,0.001519568,0.0001733034,0.0005789647,0.00341734,0.0009043581,0.1067559],"genre_scores_gemma":[0.9227071,0.0008178048,0.06279986,0.00006750037,0.00002014066,0.0003442241,0.0008648427,0.00009215804,0.01228636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3517724,"threshold_uncertainty_score":0.6994497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007597905702198393,"score_gpt":0.2630922757845451,"score_spread":0.2554943700823468,"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."}}