{"id":"W2765672476","doi":"10.25073/2588-1094/vnuees.4119","title":"Developing GIS Database for Support Fire Prevent and Fighting in Govap District – Ho Chi Minh City Base on Network Analyst","year":2017,"lang":"en","type":"article","venue":"VNU Journal of Science Earth and Environmental Sciences","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Scope (computer science); Service (business); Database; Ho chi minh; Order (exchange); Computer science; Computer security; Geography; Business; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001126252,0.0006082174,0.0004669631,0.003946871,0.0006846772,0.001747444,0.001223728,0.0004128772,0.00746184],"category_scores_gemma":[0.003492029,0.0003733305,0.0004978487,0.003659594,0.0001663139,0.001857789,0.0009596084,0.0005232958,0.002058301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009756804,"about_ca_system_score_gemma":0.00191142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121169,"about_ca_topic_score_gemma":0.02131443,"domain_scores_codex":[0.9993904,0.00009508106,0.0001240026,0.0001605077,0.0001789643,0.00005107687],"domain_scores_gemma":[0.9982169,0.000459047,0.000153312,0.0003349826,0.0006533944,0.0001823692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000870812,0.0009946338,0.1453737,0.001728946,0.0003421748,0.002727444,0.004920046,0.05889456,0.02019796,0.01789261,0.3667591,0.3792979],"study_design_scores_gemma":[0.0003203097,0.0002005049,0.0772045,0.0002681134,0.0002754141,0.00103586,0.008111805,0.4111925,0.03011094,0.01023969,0.4608013,0.0002390105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2889497,0.0008668051,0.2326593,0.00250558,0.0003074822,0.002866233,0.346688,0.07898159,0.04617523],"genre_scores_gemma":[0.4371637,0.0007995932,0.2451766,0.0002373748,0.00005499159,0.001642601,0.3038022,0.001376421,0.009746471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02121169,"threshold_uncertainty_score":0.04217643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354243618998395,"score_gpt":0.2532598781506984,"score_spread":0.2297174419607145,"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."}}