{"id":"W2980638716","doi":"10.29216/ueip.599211","title":"YATIRIMCILAR İÇİN UYGUN ZAMANLAMA STRATEJİLERİ; BİST 30’DAKİ HİSSE SENETLERİ ÜZERİNE BİR UYGULAMA","year":2019,"lang":"tr","type":"article","venue":"Uluslararası Ekonomi İşletme ve Politika Dergisi","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007480629,0.0009245772,0.0007549357,0.001089017,0.001390281,0.002516422,0.0007417639,0.001202021,0.02529873],"category_scores_gemma":[0.001447045,0.0004331434,0.0008903454,0.0008663281,0.00100964,0.001333221,0.00145828,0.00146056,0.006710573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001310885,"about_ca_system_score_gemma":0.00242183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343948,"about_ca_topic_score_gemma":0.01969428,"domain_scores_codex":[0.9991614,0.000082126,0.00003685368,0.0001436405,0.0003905943,0.0001855662],"domain_scores_gemma":[0.9990132,0.0001412588,0.0001236021,0.0000785913,0.0004987501,0.0001445197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003426513,0.0004938447,0.06902173,0.002410108,0.0002403111,0.002808507,0.004077908,0.01010709,0.2316812,0.01287068,0.02851239,0.6343496],"study_design_scores_gemma":[0.0002055507,0.003225554,0.2484132,0.0008633549,0.0005700188,0.003359677,0.01318674,0.01626417,0.2340922,0.00831794,0.4710161,0.0004854093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894285,0.01315982,0.07594694,0.003868516,0.002061299,0.000630539,0.002694221,0.003522524,0.2086876],"genre_scores_gemma":[0.8928856,0.004211651,0.02509402,0.0006098,0.000169974,0.0002289358,0.00184265,0.0005273679,0.0744301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02529873,"threshold_uncertainty_score":0.08463275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198106069933663,"score_gpt":0.2148841598237889,"score_spread":0.1929030991244522,"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."}}