{"id":"W4281714926","doi":"10.4102/jamba.v14i1.1264","title":"Disaster resilience framework indicators for a city’s disaster resilience planning strategy","year":2022,"lang":"en","type":"review","venue":"Jàmbá Journal of Disaster Risk Studies","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Resilience (materials science); Process (computing); Environmental planning; Urban resilience; Environmental resource management; Process management; Sustainable development; Disaster risk reduction; Business; Risk analysis (engineering); Geography; Urban planning; Computer science; Political science; Engineering; Civil engineering; Environmental science","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003932565,0.001099718,0.003379293,0.001159241,0.002420256,0.0006575437,0.003243732,0.0004470522,0.0003882026],"category_scores_gemma":[0.003089465,0.0008093153,0.001652139,0.00194179,0.002038165,0.001268454,0.001143758,0.00195485,0.00003233048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006054863,"about_ca_system_score_gemma":0.0007718602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004022447,"about_ca_topic_score_gemma":0.0001112937,"domain_scores_codex":[0.9905207,0.001734452,0.002696475,0.001125444,0.002404535,0.001518359],"domain_scores_gemma":[0.9897749,0.003953886,0.004645574,0.0008514862,0.0002821507,0.0004920026],"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":[0.000188124,0.0003737438,0.001570179,0.005113899,0.001790296,0.0001446044,0.1050471,0.0001588153,1.005733e-7,0.002829721,0.01743775,0.8653457],"study_design_scores_gemma":[0.0003690001,0.000528206,0.00007034856,0.008639582,0.001809432,0.00001821681,0.1430013,0.000002229993,1.427848e-7,0.003024505,0.8417291,0.0008079601],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001334048,0.9840134,0.00165056,0.000201971,0.003291657,0.001850172,0.0001334883,0.00006349649,0.007461161],"genre_scores_gemma":[0.002279804,0.9887867,0.0008148436,0.000149785,0.001736339,0.0002794866,0.00001041849,0.000114329,0.00582831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8645377,"threshold_uncertainty_score":0.9994358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529527133184858,"score_gpt":0.4624800326801218,"score_spread":0.309527319361636,"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."}}