{"id":"W6920345023","doi":"10.6068/dp15e35e52b6c0","title":"TREND: Xignite. Worldwide Stock Market Prices by Region: Stock Daily Open | Economic Regions/Exchanges: London Stock Exchange | Exchange: London Stock Exchange, 02/17/2012 - 06/16/2017. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-004-001","year":2017,"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; CONQUEST; Stock market bubble; Cash","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":[0.001054148,0.00237601,0.001543399,0.004018522,0.0006489875,0.003856941,0.002688406,0.001795167,0.1222021],"category_scores_gemma":[0.005619109,0.0006840774,0.001041129,0.007138648,0.0002851292,0.002794332,0.002076729,0.002153037,0.2325646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00132628,"about_ca_system_score_gemma":0.001699307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02225954,"about_ca_topic_score_gemma":0.03630934,"domain_scores_codex":[0.9992055,0.00009066055,0.00009149465,0.0002647869,0.0002239073,0.0001236714],"domain_scores_gemma":[0.9977458,0.0003205172,0.0003594168,0.0005109527,0.0008245446,0.0002387818],"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":[0.00001751615,0.000008375832,0.0007177346,0.00009418949,0.00001087399,0.000008308417,0.000005827466,0.00009566382,0.00002576132,0.0001815276,0.9977412,0.001093103],"study_design_scores_gemma":[0.0002517991,0.00002865888,0.009338126,0.0002925928,0.00002679451,0.00004933451,0.00009551931,0.001044434,0.0002481089,0.001201635,0.9873827,0.00004013427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001326289,0.00003100467,0.0000380318,0.00007349104,0.00003335716,0.00001134322,0.9984789,0.0002934104,0.0009077897],"genre_scores_gemma":[0.000249898,0.00002529377,0.0001175833,0.00003709348,0.00001658124,0.00004364194,0.9985904,0.00004817905,0.00087126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1222021,"threshold_uncertainty_score":0.4088069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06030231784429612,"score_gpt":0.3118048928153937,"score_spread":0.2515025749710976,"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."}}