{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868407,0.002394868,0.001400639,0.003676643,0.0005945847,0.003300373,0.002412397,0.001632627,0.1117551],"category_scores_gemma":[0.004419992,0.0006864828,0.0009039355,0.006680268,0.000280047,0.002254143,0.001938484,0.001911907,0.1969139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001279437,"about_ca_system_score_gemma":0.001909312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02619223,"about_ca_topic_score_gemma":0.04441527,"domain_scores_codex":[0.9994434,0.00006083438,0.00005697545,0.0001931693,0.0001480648,0.00009763311],"domain_scores_gemma":[0.9982203,0.0002329175,0.0002460341,0.0004374937,0.0006358711,0.0002272527],"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":[0.00002044432,0.000009079919,0.0009687349,0.000105636,0.00001163005,0.0000101267,0.000007617615,0.00009726112,0.00003216291,0.0001680453,0.9974192,0.001150128],"study_design_scores_gemma":[0.0002851221,0.00003321707,0.01349836,0.0003081812,0.00003085777,0.00005382492,0.0001061468,0.00103045,0.0003125138,0.001026769,0.9832691,0.00004537118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00014973,0.00002510764,0.00003341811,0.00006112906,0.00002880186,0.00001117605,0.9986163,0.0003327676,0.0007414778],"genre_scores_gemma":[0.0002923219,0.00002610145,0.000115667,0.00003518593,0.00001384846,0.00004542143,0.9985519,0.0000549441,0.0008645677],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1117551,"threshold_uncertainty_score":0.3738581,"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."}}