{"id":"W6901500988","doi":"10.6068/dp15a85cbbfe17","title":"TREND: Xignite. Worldwide Stock Market Prices - Major Exchanges: Stock Daily Open | Economic Regions/Exchanges: Shanghai Stock Exchange | Exchange: Shanghai Stock Exchange, . Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 016-003-001","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 bubble; Stock market; Market maker; Restricted stock; CONQUEST","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":[0.00101795,0.002299126,0.001336167,0.003920525,0.000608701,0.003122053,0.002372537,0.001479304,0.1016869],"category_scores_gemma":[0.004862696,0.0006668596,0.0008446786,0.007678726,0.0002754894,0.002114286,0.001970222,0.001756118,0.214412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129991,"about_ca_system_score_gemma":0.00179424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0268885,"about_ca_topic_score_gemma":0.04015796,"domain_scores_codex":[0.9992892,0.00009031096,0.00007041344,0.0002203042,0.0002182866,0.0001115555],"domain_scores_gemma":[0.99812,0.000235925,0.0002605586,0.0004458195,0.0007246233,0.0002129915],"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":[0.0000160312,0.000007852408,0.0008730363,0.00009663091,0.00001094018,0.000007995235,0.00000756957,0.0001010214,0.00002999842,0.0002057315,0.9973409,0.001302295],"study_design_scores_gemma":[0.0001971451,0.00002291205,0.009931912,0.0002145862,0.0000256829,0.00004269031,0.00008746544,0.001044307,0.0002740832,0.001094784,0.9870292,0.00003529491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001664593,0.00003055187,0.00005261109,0.00006990386,0.00002665684,0.00001397926,0.9981395,0.0004573957,0.001042891],"genre_scores_gemma":[0.0002918153,0.00002469041,0.0001418234,0.00003376037,0.00001185973,0.00004575158,0.9985703,0.00005810449,0.0008219935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1016869,"threshold_uncertainty_score":0.3401765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581663847119373,"score_gpt":0.3168377853212431,"score_spread":0.2586714006093058,"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."}}