{"id":"W6939170112","doi":"10.6068/dp16999ed07a231","title":"TREND: Xignite. Worldwide Stock Market Prices by Region: Stock Daily Open | Economic Regions/Exchanges: Budapest Stock Exchange | Exchange: Budapest Stock Exchange, 02/15/2011 - 03/19/2019. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 016-004-001","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Cash; Stock market; Market maker; Financial market","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":[0.0008851536,0.001928871,0.001319711,0.003114385,0.000513681,0.003235423,0.002573162,0.001836288,0.1196902],"category_scores_gemma":[0.004595669,0.0007118637,0.00112646,0.005086908,0.0002554612,0.001834964,0.001936653,0.002031761,0.1755658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055947,"about_ca_system_score_gemma":0.001370256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275806,"about_ca_topic_score_gemma":0.02192294,"domain_scores_codex":[0.9994754,0.00006672789,0.00005912412,0.0001853721,0.0001141249,0.00009921834],"domain_scores_gemma":[0.9986463,0.0002487253,0.0002068152,0.0003871564,0.0003324842,0.0001784833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002823898,0.00001022188,0.0008618101,0.0002026978,0.00001738713,0.00001180898,0.000009373868,0.0001321449,0.0000427091,0.0002544506,0.9970561,0.001373061],"study_design_scores_gemma":[0.0003418889,0.00002709002,0.009032545,0.0003451869,0.00003821486,0.00005924933,0.00007832354,0.0009116789,0.0003078401,0.001475674,0.9873426,0.00003972728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001008627,0.00002447103,0.00004052116,0.00004587903,0.00001992618,0.000008240802,0.9990044,0.0002830254,0.0004727577],"genre_scores_gemma":[0.0003152011,0.00002743618,0.0001581441,0.00003367196,0.00001175703,0.00005411795,0.9987392,0.0000655399,0.0005950424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1196902,"threshold_uncertainty_score":0.4004036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06234843649926086,"score_gpt":0.2951592980219825,"score_spread":0.2328108615227217,"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."}}