{"id":"W2728846567","doi":"","title":"Linkages among selected Western and Asian stock markets / Noraini Aminudin","year":2011,"lang":"en","type":"article","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Equity (law); Market capitalization; Business; Emerging markets; International market; Diversification (marketing strategy); Stock market; Interdependence; China; Stock exchange; Geography; International trade; Finance; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003941451,0.0002016299,0.0001678804,0.001615456,0.0004012132,0.001341758,0.0001517318,0.0001072871,0.004418422],"category_scores_gemma":[0.0008324487,0.00007608782,0.0001735468,0.003312894,0.0001783104,0.0008776639,0.0005513245,0.0001668167,0.0004488199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004278013,"about_ca_system_score_gemma":0.0004983684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005998,"about_ca_topic_score_gemma":0.01485735,"domain_scores_codex":[0.9998822,0.00001984887,0.00001483482,0.00002523401,0.00003273377,0.00002516892],"domain_scores_gemma":[0.9994542,0.00007624037,0.0002861162,0.00002528351,0.0001045297,0.00005375037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008961265,0.00007305119,0.9426826,0.00006075344,0.0001264452,0.0006571229,0.001400339,0.0005436359,0.0007354564,0.00412254,0.001142457,0.04836605],"study_design_scores_gemma":[0.00000684341,0.00004014378,0.9841247,0.00004735234,0.00007419725,0.0003029929,0.002773391,0.002274799,0.000576688,0.001245961,0.008525116,0.000007972157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846602,0.0006473549,0.0001972099,0.0001370735,0.000007430969,0.00001033196,0.0003795942,0.000006930747,0.01395389],"genre_scores_gemma":[0.9952645,0.000643912,0.0002522945,0.00002878678,0.00001138209,0.000008523666,0.0005279282,0.000002687065,0.003259957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005998,"threshold_uncertainty_score":0.02000284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03281132757938828,"score_gpt":0.1923896508406658,"score_spread":0.1595783232612775,"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."}}