{"id":"W6920612027","doi":"10.6068/dp176fd33068f50","title":"TREND: Exchange Data International. Worldwide Stock Market Prices - Major Exchanges: Stock Daily Close - Adjusted Prices | Exchange Symbol: XLON | Exchange Name: London Stock Exchange | Stock Symbol: 0QV3, 09/05/2017 - 07/03/2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 090-002-002","year":2021,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Market maker; Stock (firearms); Stock market bubble; Stock market; Restricted stock; Currency","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":[0.001073486,0.001749901,0.00120685,0.003842686,0.0005541719,0.002891289,0.00223377,0.001490694,0.1073547],"category_scores_gemma":[0.008368557,0.0006533646,0.0008506455,0.008626253,0.0002585987,0.002542315,0.001876019,0.00211554,0.1713313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149819,"about_ca_system_score_gemma":0.00169387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633731,"about_ca_topic_score_gemma":0.02453909,"domain_scores_codex":[0.998915,0.0001257768,0.0002087183,0.0003039888,0.0003123528,0.0001342416],"domain_scores_gemma":[0.9957576,0.0006038431,0.0006647204,0.0008009094,0.001858302,0.0003145756],"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":[0.00002206442,0.000008704576,0.0006390488,0.0001519386,0.0000126135,0.000007740496,0.000007693021,0.00007258952,0.00003181242,0.0002901897,0.9973781,0.001377531],"study_design_scores_gemma":[0.0001843284,0.00001772127,0.00751832,0.0002760784,0.00002366045,0.00003096798,0.00008444287,0.0003983399,0.0002312331,0.001206017,0.9899923,0.00003646196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008198845,0.00002198482,0.00004204455,0.00005190249,0.00002786289,0.00001048106,0.9990369,0.0001404243,0.0005863936],"genre_scores_gemma":[0.0002621843,0.00002848042,0.0001584971,0.00003326554,0.00001582791,0.00006051946,0.9986771,0.00005183617,0.0007123418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1073547,"threshold_uncertainty_score":0.3591372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05785244795365294,"score_gpt":0.3023899613183985,"score_spread":0.2445375133647455,"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."}}