{"id":"W6920228834","doi":"10.6068/dp1509070e12c0","title":"Trend. Xignite. Worldwide Stock Market Prices - Major Exchanges: Stock Daily Low | Exchange: London Stock Exchange | Symbol: 96ES | Symbol Name: Barclays Bank Global Notes 2011-13.4.21 VRN on Eurostat Eurozone HICP Ex Tobacco, Day Format Error: 2147483647-Day Format Error: 0. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 016-003-004.","year":2015,"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); Stock market; Market maker; Stock market bubble; Stock market 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":[0.001020312,0.002332591,0.001371994,0.003416961,0.0005724208,0.003953491,0.002627146,0.001863649,0.164462],"category_scores_gemma":[0.006275113,0.0009063049,0.001153045,0.007289333,0.0002819988,0.002716667,0.002466564,0.002079485,0.3076533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335115,"about_ca_system_score_gemma":0.001515139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271051,"about_ca_topic_score_gemma":0.03100258,"domain_scores_codex":[0.9992014,0.00009222981,0.00008943645,0.0002550708,0.0002300892,0.0001317472],"domain_scores_gemma":[0.9976665,0.0003704649,0.0003433272,0.0005305784,0.0008732613,0.0002158087],"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":[0.00001469893,0.000006827357,0.0006910514,0.0001146367,0.00001018087,0.00000589988,0.000008087083,0.0000783983,0.00002726045,0.0001582893,0.9978854,0.0009992785],"study_design_scores_gemma":[0.0002560325,0.00002795681,0.009366854,0.0003143312,0.00002234274,0.00003675484,0.0001016883,0.00071495,0.0003054705,0.001017409,0.9877939,0.00004215061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000816666,0.00001902422,0.00003074665,0.00005179543,0.00002747599,0.000007879386,0.9986879,0.0004297382,0.0006636954],"genre_scores_gemma":[0.0002279316,0.00002132067,0.0001303707,0.00003267484,0.0000120097,0.00004268969,0.9985811,0.0000973291,0.0008546423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.164462,"threshold_uncertainty_score":0.5501801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053059593482889,"score_gpt":0.2972438811249706,"score_spread":0.2467132851901417,"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."}}