{"id":"W6976507375","doi":"10.6068/dp166cd774f2e94","title":"TREND: Xignite. Worldwide Stock Market Prices by Region: Stock Daily Open | Economic Regions/Exchanges: Hong Kong Stock Exchange | Exchange: Hong Kong Stock Exchange, 07/25/2011 - 10/31/2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 016-004-001","year":2018,"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; Cash; Market maker; Stock market bubble","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":[0.001232301,0.0021381,0.001404753,0.003236623,0.0006811221,0.003418187,0.003199813,0.002282961,0.1247207],"category_scores_gemma":[0.005952127,0.0007099413,0.001280622,0.005151007,0.0003124251,0.001957607,0.002301421,0.002347022,0.1816089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001188683,"about_ca_system_score_gemma":0.001661085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01273715,"about_ca_topic_score_gemma":0.02287642,"domain_scores_codex":[0.9993554,0.00009691053,0.000072144,0.000228032,0.000128917,0.000118618],"domain_scores_gemma":[0.9983553,0.0003167774,0.0002400683,0.0004775375,0.0003967896,0.0002135126],"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":[0.00002952777,0.00001238531,0.0008893553,0.0002051196,0.00001713837,0.00001210449,0.00001046454,0.0001287244,0.00003951795,0.0002523676,0.9971386,0.001264649],"study_design_scores_gemma":[0.0004374299,0.00003442553,0.008227699,0.0003891832,0.00004424926,0.00006483715,0.00008938845,0.001047002,0.0002979547,0.001834325,0.9874898,0.00004376638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001091119,0.00002719494,0.00005011526,0.00006252024,0.00002252943,0.00001132759,0.9989089,0.0003446789,0.0004636204],"genre_scores_gemma":[0.000322303,0.00002946893,0.0002055478,0.00004953927,0.00001379063,0.00008969753,0.9985856,0.00007564637,0.0006283711],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1247207,"threshold_uncertainty_score":0.4172323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07180387089597438,"score_gpt":0.2979711618726841,"score_spread":0.2261672909767097,"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."}}