{"id":"W2900588605","doi":"10.1109/iscc.2018.8538356","title":"Smart Disaster Detection and Response System for Smart Cities","year":2018,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Internet of Things; Computer security; Natural disaster; Damages; Computer science; Context (archaeology); Emergency management; Disaster response; Emergency response; Smart city; Smart system; Risk analysis (engineering); Business; Geography; Medical emergency","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376507,0.00004756886,0.00007869887,0.00005895238,0.000797473,0.00008913608,0.00005495482,0.00005132006,0.0001740016],"category_scores_gemma":[0.0003053722,0.00004177601,0.00004184418,0.0001188552,0.0003268218,0.0001020505,0.000009141926,0.00002256063,0.00003601376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008299842,"about_ca_system_score_gemma":0.00006188147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004665911,"about_ca_topic_score_gemma":0.08050971,"domain_scores_codex":[0.9992656,0.0002322212,0.0001127838,0.0001444472,0.0001141083,0.0001308857],"domain_scores_gemma":[0.9992546,0.0004253323,0.00002856905,0.000105471,0.0001291431,0.00005685272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.006993602,0.0003578228,0.09383257,0.0007997763,0.0004458382,0.00000324373,0.4470019,0.00001299023,0.01745915,0.1547721,0.007034482,0.2712865],"study_design_scores_gemma":[0.001561701,0.001101346,0.05390114,0.0001339399,0.0003071901,0.000002754932,0.5118845,0.008708794,0.01415214,0.004658502,0.4027089,0.0008790783],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966846,0.00001308481,0.01959199,0.0007200986,0.0001752553,0.0002210705,0.000003972183,0.00009201835,0.01233644],"genre_scores_gemma":[0.9903424,0.00000128993,0.00007852628,0.00009911709,0.000229503,0.00003955845,0.000001085806,0.00000364281,0.009204827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3956745,"threshold_uncertainty_score":0.9362686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139235721687846,"score_gpt":0.290404635527423,"score_spread":0.2690122783105445,"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."}}