{"id":"W6976605643","doi":"10.6068/dp1663803fa2056","title":"TREND: Xignite. Worldwide Stock Market Prices by Region: Stock Daily Close | Economic Regions/Exchanges: Shanghai Stock Exchange | Exchange: Shanghai Stock Exchange, 03/01/2011 - 09/28/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 016-004-002","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock exchange; Stock (firearms); Stock market; Cash; Market maker; Database transaction","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.001548762,0.002346888,0.001876048,0.0004665956,0.0005092482,0.001219781,0.01130766,0.001785313,0.1676042],"category_scores_gemma":[0.000176697,0.002427722,0.00004712162,0.0004353745,0.001018558,0.003081824,0.01233132,0.002074308,0.00346495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731045,"about_ca_system_score_gemma":0.0001050551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01713637,"about_ca_topic_score_gemma":0.01706352,"domain_scores_codex":[0.9883649,0.0004054438,0.001552287,0.005290031,0.001694505,0.002692878],"domain_scores_gemma":[0.9843837,0.001066478,0.001475416,0.01143322,0.000002718209,0.001638491],"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":[0.0004002831,0.000347375,0.00003482883,0.001236012,0.0004017458,0.0004934951,0.00009581756,0.000005879733,0.00008010914,0.000003662411,0.9807147,0.01618613],"study_design_scores_gemma":[0.001971673,0.0002054583,0.00003191405,0.0003787251,0.0005917826,0.0003652997,0.000121139,0.00311735,0.000010285,0.000008469824,0.9904186,0.002779323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008053014,0.006203755,0.0002611963,0.0003650484,0.0007073631,0.001756008,0.9450303,0.0007444355,0.04492385],"genre_scores_gemma":[0.00001374682,0.003155157,0.001432647,0.0009543455,0.00336371,0.0002491619,0.9518735,0.000897721,0.03806001],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1641392,"threshold_uncertainty_score":0.9998171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797679455444133,"score_gpt":0.2430950292328279,"score_spread":0.2151182346783866,"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."}}