{"id":"W2015538882","doi":"10.5430/afr.v4n1p172","title":"Are There any Regular Variations in the Taiwan Stock Market: A Case Study of Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX)","year":2015,"lang":"en","type":"article","venue":"Accounting and Finance Research","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Market capitalization; Stock market; Stock market index; Capitalization-weighted index; Ordinary least squares; Stock (firearms); Business; Index (typography); Econometrics; Regression analysis; Economics; Financial economics; Finance; Statistics; Geography; Mathematics","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":[0.001276276,0.0001635723,0.0002703327,0.00116336,0.0004621956,0.001019946,0.00035711,0.000559532,0.0009817975],"category_scores_gemma":[0.00530288,0.0001560972,0.0005465591,0.001306921,0.0005329397,0.001153567,0.0004729671,0.0004027044,0.0001405813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918259,"about_ca_system_score_gemma":0.0004250069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163686,"about_ca_topic_score_gemma":0.01821394,"domain_scores_codex":[0.9992394,0.0001843521,0.00007501026,0.0001928615,0.0001843609,0.0001239032],"domain_scores_gemma":[0.9955202,0.001751023,0.001622273,0.0003940055,0.0004622035,0.0002501697],"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":[0.0001368255,0.0001075154,0.9808002,0.00003444199,0.00009827671,0.002583403,0.001119353,0.0006381344,0.0009698935,0.0007078238,0.0005171006,0.01228698],"study_design_scores_gemma":[0.000009496956,0.0001206468,0.9886409,0.00001324767,0.00008996999,0.0008731982,0.00229558,0.005773966,0.0005871101,0.0005550807,0.001021632,0.00001903069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982988,0.000207903,0.0002898317,0.0001623579,0.000006147363,0.00001082401,0.0001053473,0.000006474514,0.0009122152],"genre_scores_gemma":[0.9993209,0.00009093964,0.0001934883,0.00002373416,0.0000168608,0.000003136058,0.0001313522,0.000003274506,0.0002163169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163686,"threshold_uncertainty_score":0.02313823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2262668606729132,"score_gpt":0.4440022311892741,"score_spread":0.2177353705163609,"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."}}