{"id":"W4414193167","doi":"10.1139/cjce-2024-0393","title":"Smart city role in disaster management using GIS (Gaza City as case study)","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smart city; Emergency management; Internet of Things; Geographic information system; Management system; Information system; The Internet; City management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001640367,0.0001540094,0.0003311743,0.002658084,0.00009972729,0.0001969126,0.0006393975,0.00006764945,0.0003547454],"category_scores_gemma":[0.0004996507,0.0001422137,0.00009795612,0.001506767,0.00003835872,0.0002542622,0.0001267396,0.0003083077,0.00001227867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949629,"about_ca_system_score_gemma":0.0001757531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422974,"about_ca_topic_score_gemma":0.4923528,"domain_scores_codex":[0.9983404,0.00005048261,0.0006864354,0.0002287921,0.0003203556,0.0003735871],"domain_scores_gemma":[0.9990069,0.0001220489,0.0001328488,0.0003653548,0.0001355586,0.0002372809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002299715,0.0001643337,0.8441716,0.00005198395,0.0003852076,0.04754981,0.003426585,0.02593314,0.00005942755,0.005472012,0.002350003,0.07041294],"study_design_scores_gemma":[0.009865163,0.0008829921,0.3693074,0.001582318,0.0007544057,0.006389754,0.1030827,0.1416115,0.0003042973,0.05020506,0.31346,0.002554354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690326,0.0003229361,0.01217937,0.0002038617,0.0008808452,0.0001886974,0.000001433462,0.00001330375,0.01717696],"genre_scores_gemma":[0.9983507,0.000002233081,0.0002565967,0.00004781426,0.00004073846,0.000002833589,1.035841e-7,0.000009454469,0.001289552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.488123,"threshold_uncertainty_score":0.6394131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0426672471552246,"score_gpt":0.3056622523027911,"score_spread":0.2629950051475666,"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."}}