{"id":"W4372348757","doi":"10.18280/ijsdp.180411","title":"Urban Resilience and Poverty in Malaysia","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Higher Education, Malaysia","keywords":"Resilience (materials science); Poverty; Environmental planning; Urban resilience; Geography; Urban poverty; Environmental resource management; Urban planning; Economic growth; Environmental science; Economics; Civil engineering; Engineering","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":[0.0008612385,0.00005117718,0.00007660152,0.0004131085,0.0001282786,0.000147911,0.0001963819,0.00002586466,0.00001381022],"category_scores_gemma":[0.0002075742,0.00004529206,0.00001075829,0.0002554494,0.0000618893,0.0004582137,0.00009862716,0.00007875355,0.000002369466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006891893,"about_ca_system_score_gemma":0.0001295135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005685427,"about_ca_topic_score_gemma":0.00001457593,"domain_scores_codex":[0.9991287,0.00003039405,0.0001978458,0.00008215272,0.0003637061,0.0001971828],"domain_scores_gemma":[0.9995983,0.00008595016,0.00009452341,0.00001937116,0.0001447595,0.00005713222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001460801,0.00003474299,0.7478305,0.00004347859,0.00006172564,0.005228173,0.174074,0.000530205,0.00003698524,0.03139782,0.01948167,0.02113464],"study_design_scores_gemma":[0.0005214732,0.00002056139,0.5019445,0.0001905315,0.000003965479,0.00001107593,0.3236127,0.000202261,0.00003299581,0.002294845,0.1710284,0.0001367144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860092,0.000179372,0.0000498805,0.001084881,0.0002143574,0.00005231916,1.643726e-7,0.000009278509,0.01240052],"genre_scores_gemma":[0.9900699,0.0001714484,0.0002859478,0.0001109122,0.00009514514,0.000001389941,8.796363e-7,0.000002602616,0.009261738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.245886,"threshold_uncertainty_score":0.1846957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471343539275885,"score_gpt":0.2905909063654515,"score_spread":0.2758774709726927,"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."}}