{"id":"W4404931130","doi":"10.3390/jrfm17120544","title":"The Relationship Between Sociodemographic Attributes and Financial Well-Being of Low-Income Urban Families Amid the COVID-19 Pandemic: A Case Study of Malaysia","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Tunku Abdul Rahman; Multimedia University","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Low income; Business; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Socioeconomics; Economic growth; Geography; Economics; Medicine; Virology; Outbreak","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007362349,0.0002645055,0.000312555,0.0009323322,0.00148096,0.001075783,0.0004099702,0.000514441,0.002060223],"category_scores_gemma":[0.001353585,0.0002387649,0.000496065,0.0008095711,0.0007112436,0.0008193635,0.001086558,0.0009072673,0.0001978847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001138224,"about_ca_system_score_gemma":0.001042828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495526,"about_ca_topic_score_gemma":0.0557148,"domain_scores_codex":[0.9995853,0.0001541524,0.00002649837,0.00003464388,0.0000402722,0.0001591926],"domain_scores_gemma":[0.9992299,0.0001869383,0.0002552338,0.00003322233,0.00008361466,0.0002110278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005456207,0.0002978242,0.978506,0.00003817986,0.00004189264,0.002426384,0.01393668,0.0001147041,0.0001558069,0.0002214657,0.0002013539,0.004005155],"study_design_scores_gemma":[0.000003465186,0.0003330502,0.8653621,0.0001042974,0.00003934103,0.001888567,0.1306265,0.0005221539,0.0001537587,0.0001294731,0.000808909,0.00002853775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996355,0.00003894211,0.00001527304,0.00006898138,9.732387e-7,0.000004533948,0.00003173029,2.293651e-7,0.0002038523],"genre_scores_gemma":[0.9996754,0.00009974383,0.00003457237,0.00001913555,0.00000155812,0.000005835334,0.00002440433,3.407317e-7,0.0001391114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03495526,"threshold_uncertainty_score":0.06950361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261967497077415,"score_gpt":0.2767620794060918,"score_spread":0.2341424044353176,"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."}}