{"id":"W2976245207","doi":"10.5430/rwe.v10n3p89","title":"Predicting Financial Vulnerability in Malaysia: Evidence From the Signals Approach","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Islamic Finance and Banking Studies","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Sarawak","keywords":"Vulnerability (computing); Financial crisis; Construct (python library); Predictive power; Economics; Stock (firearms); Empirical evidence; Econometrics; Macroeconomics; Computer science; Geography","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":[0.002622193,0.0006435423,0.0003032497,0.002021267,0.0003453961,0.001215906,0.0004629258,0.0005089726,0.001470899],"category_scores_gemma":[0.01220591,0.0002029012,0.0004449982,0.001440271,0.0005919151,0.001652732,0.001574502,0.0009510811,0.0003412178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005557172,"about_ca_system_score_gemma":0.0007677114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01529352,"about_ca_topic_score_gemma":0.01195814,"domain_scores_codex":[0.9988688,0.0005868105,0.00009480304,0.0001266561,0.0001845554,0.0001384022],"domain_scores_gemma":[0.9872373,0.00661939,0.004043018,0.0004862745,0.000943703,0.0006702158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001700763,0.0001162372,0.9843796,0.00003894965,0.0001090119,0.0001790796,0.0004778906,0.002150993,0.00007637421,0.0006268445,0.000354467,0.01132054],"study_design_scores_gemma":[0.00001792678,0.0004593295,0.9641606,0.0001218818,0.0001491407,0.0001851102,0.003082474,0.02848632,0.0004315615,0.001732454,0.001139856,0.0000334224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975327,0.000172947,0.0003301363,0.0003148149,0.0000057303,0.00001305035,0.0002482519,0.000005128101,0.001377138],"genre_scores_gemma":[0.9992911,0.0002028699,0.0001859714,0.00002037207,0.000009179542,0.000005302926,0.0001564479,9.999944e-7,0.0001278633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529352,"threshold_uncertainty_score":0.03040904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07354164710394578,"score_gpt":0.3069639220165014,"score_spread":0.2334222749125556,"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."}}