{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005043373,0.00009388375,0.0001580064,0.0001363514,0.00009989242,0.0001818954,0.0006806482,0.00003846049,0.00005632339],"category_scores_gemma":[0.00006898447,0.00006680845,0.0001051125,0.00006968593,0.0001345092,0.000448594,0.00005209066,0.0001572694,0.000003228922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008580287,"about_ca_system_score_gemma":0.000005781109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002339201,"about_ca_topic_score_gemma":0.00006794686,"domain_scores_codex":[0.998869,0.00005461637,0.0003632145,0.0001010969,0.0004890621,0.0001229799],"domain_scores_gemma":[0.9993513,0.0001060536,0.0002081794,0.0002721939,0.00002647223,0.00003585616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001338474,0.00001258734,0.1312495,0.00000215478,0.0001324462,0.00001077088,0.0005160441,0.8570893,0.0001901807,0.00002853514,0.00001337092,0.01074171],"study_design_scores_gemma":[0.0002070124,0.00002656086,0.7816015,0.00002629559,0.0001356305,0.00001470655,0.0003670262,0.2149048,0.0001852345,0.002030269,0.0004088251,0.00009219953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524899,0.0001390476,0.04646299,0.0004226421,0.0001785871,0.00005144094,0.000002577791,0.000002830422,0.0002500442],"genre_scores_gemma":[0.9990267,0.0001646451,0.0005322928,0.00005382081,0.0002036722,0.000002271195,0.000001709552,0.000004304263,0.00001064804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6503519,"threshold_uncertainty_score":0.2724369,"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."}}