{"id":"W6947435999","doi":"10.3886/e190001","title":"Data and Code for: The Stock Connect to China","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Mainland China; Stock exchange; Stock market; Foreign exchange; China; Valuation (finance); Stock (firearms)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001148271,0.0002695684,0.0003602073,0.00009640753,0.0006087871,0.0001572619,0.003668107,0.0001625149,0.000193475],"category_scores_gemma":[0.00126078,0.0001813482,0.00002576604,0.0002153392,0.0002310105,0.0002742367,0.0009586259,0.0003076994,0.0009326545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002547275,"about_ca_system_score_gemma":0.00005435358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006714838,"about_ca_topic_score_gemma":0.5753856,"domain_scores_codex":[0.9980817,0.00005804687,0.0002654368,0.0009437072,0.0002434505,0.000407634],"domain_scores_gemma":[0.9951957,0.0014301,0.0001359192,0.003079684,0.00002617564,0.0001324603],"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":[0.00002898277,0.000003785466,0.005064073,0.00005204879,0.0001164973,0.000006750861,0.00002670531,0.00000840852,7.090974e-8,0.000004532103,0.9912949,0.003393294],"study_design_scores_gemma":[0.0001699279,0.0000671141,0.08294978,0.00003519725,0.0001599319,0.00001584896,0.00008620379,0.002360259,4.757209e-8,0.00004229468,0.9138746,0.0002387467],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001132912,0.005733084,0.00006400308,0.003556996,0.001245985,0.0005791521,0.9885858,0.00005908419,0.00006255917],"genre_scores_gemma":[0.0000815154,0.004853094,0.0002034162,0.001176698,0.0003987714,0.000007379655,0.9930007,0.000006301306,0.0002721591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5686707,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1514028026934227,"score_gpt":0.3412450832361493,"score_spread":0.1898422805427266,"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."}}