{"id":"W3082381194","doi":"10.1002/widm.1388","title":"Smart city and resilient city: Differences and connections","year":2020,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; China Scholarship Council","keywords":"Smart city; Computer science; Hazard; Focus (optics); Urban planning; Architectural engineering; Data science; Sociology; Regional science; Civil engineering; Computer security; Internet of Things; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989681,0.0002654592,0.0004756056,0.00880732,0.0008169684,0.005548588,0.0004833775,0.0007161989,0.00441311],"category_scores_gemma":[0.009894251,0.0001654704,0.0005804189,0.01512197,0.004272582,0.005924702,0.002717405,0.001168546,0.0002571741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226399,"about_ca_system_score_gemma":0.002105844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003186981,"about_ca_topic_score_gemma":0.003835255,"domain_scores_codex":[0.996555,0.00142105,0.000376113,0.0004557705,0.001007786,0.0001843794],"domain_scores_gemma":[0.9883392,0.00842993,0.001210732,0.0003381733,0.001420653,0.0002613126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000102905,0.00005042331,0.06100114,0.01127987,0.0005786362,0.0006604595,0.02174385,0.00135057,0.0006842849,0.4553665,0.008055318,0.439126],"study_design_scores_gemma":[0.00001769594,0.0001214682,0.1761604,0.01677138,0.0007679685,0.001840197,0.08277558,0.002324801,0.001225649,0.3623749,0.3554503,0.0001696177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2474027,0.5209466,0.02217581,0.0465969,0.001418374,0.0001820341,0.001251255,0.0001116329,0.1599146],"genre_scores_gemma":[0.8826815,0.1090987,0.00370675,0.001493915,0.0003786108,0.00007140623,0.0003116154,0.00002124136,0.002236175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00880732,"threshold_uncertainty_score":0.01615369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09336277250994358,"score_gpt":0.3048798354911904,"score_spread":0.2115170629812468,"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."}}