{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066782,0.0002640322,0.0004953834,0.00006770471,0.0002471315,0.0002050798,0.0002865871,0.00008660267,0.00001797217],"category_scores_gemma":[0.0001434699,0.0002106813,0.00003900157,0.000159402,0.0002626497,0.0006273887,0.002353093,0.0001976644,0.000006045664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001334002,"about_ca_system_score_gemma":0.00001177078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005616746,"about_ca_topic_score_gemma":0.0001301324,"domain_scores_codex":[0.9988149,0.00004381292,0.0003518249,0.0005021876,0.00005947155,0.0002277596],"domain_scores_gemma":[0.9992099,0.0001526901,0.00005155873,0.0004487549,0.0000134739,0.0001236451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000958422,0.0001346008,0.1938511,0.003800386,0.0003566483,0.00003911631,0.01630159,0.000003448082,0.0004254784,0.0009686694,0.1966273,0.5873958],"study_design_scores_gemma":[0.002627511,0.001928538,0.1383053,0.01199286,0.0009818625,0.0004640705,0.04835806,0.09051173,0.0003341341,0.002141063,0.6983703,0.003984534],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809704,0.1139014,0.000799649,0.0008154981,0.0003741377,0.0002570794,0.0003342264,0.000251895,0.002295682],"genre_scores_gemma":[0.9533109,0.04569596,0.0004765069,0.00005786713,0.0001619088,0.00003792806,0.00009499923,0.00002128186,0.0001426612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5834113,"threshold_uncertainty_score":0.8591334,"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."}}