{"id":"W7033496746","doi":"","title":"The relationship of macroeconomic variables on the stock price index in Malaysia / Siti Nurbasirah Roslan","year":2016,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exchange rate; Interest rate; Inflation (cosmology); Stock exchange; Stock (firearms); Stock market index; Quarter (Canadian coin); Price index; Stock price; Wholesale price index","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":[0.0003705019,0.0002155522,0.0001560716,0.0006484653,0.0001347951,0.0007577177,0.0001389792,0.000227952,0.002611232],"category_scores_gemma":[0.001600967,0.0001104392,0.000231796,0.0007476691,0.0001262364,0.0003584481,0.0002980639,0.0005391016,0.0005423426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003371787,"about_ca_system_score_gemma":0.0003509747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007655779,"about_ca_topic_score_gemma":0.01120991,"domain_scores_codex":[0.999787,0.00003471908,0.00003705133,0.00003358801,0.00007093959,0.00003670995],"domain_scores_gemma":[0.9984945,0.0002371893,0.0008185061,0.00005301188,0.000253457,0.0001433754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005003317,0.00002730726,0.9946243,0.00001357766,0.00005809896,0.0001035404,0.00006083135,0.0001688145,0.0001853056,0.0001164596,0.0003693234,0.004222342],"study_design_scores_gemma":[0.000001724923,0.00002521761,0.9985655,0.000009214031,0.00001965358,0.00007236373,0.000102795,0.0006056369,0.000162774,0.00004548143,0.0003867271,0.000002904321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962525,0.0006402968,0.0000965123,0.0002400928,0.00002008189,0.000004800136,0.0005281268,0.000005566094,0.002212101],"genre_scores_gemma":[0.9980754,0.0002988205,0.00005754379,0.00001813739,0.00002261775,0.000002575809,0.0004593914,0.00000161928,0.001063971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007655779,"threshold_uncertainty_score":0.01522243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420752577073374,"score_gpt":0.2470527936192089,"score_spread":0.2328452678484752,"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."}}