{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007010304,0.00198193,0.0009646285,0.00366907,0.0007894066,0.002164676,0.002325143,0.001395026,0.09135558],"category_scores_gemma":[0.003751374,0.0005063781,0.0008665704,0.007238871,0.0004952819,0.001449225,0.002123328,0.001276195,0.09380169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001973383,"about_ca_system_score_gemma":0.003407479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09149481,"about_ca_topic_score_gemma":0.1263871,"domain_scores_codex":[0.9994259,0.00005725841,0.00008485624,0.0001600482,0.0001246486,0.0001473246],"domain_scores_gemma":[0.9987217,0.0001832007,0.0001553989,0.0003603782,0.0003754595,0.0002038181],"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":[0.00003724501,0.00001192126,0.00152132,0.000352614,0.00001646218,0.00002814099,0.00003315819,0.00022783,0.0001229874,0.0004910875,0.9952086,0.001948747],"study_design_scores_gemma":[0.0002073183,0.00001438484,0.01190082,0.0002315356,0.0000203682,0.00005020175,0.000123881,0.000667466,0.0004237763,0.001125647,0.9851936,0.00004100311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001282158,0.00001561508,0.00002394816,0.00003750539,0.00001188245,0.000009133003,0.9991562,0.0002088848,0.0004086139],"genre_scores_gemma":[0.0004073271,0.0000259907,0.0001469051,0.00003006756,0.000004677306,0.00005141312,0.9988391,0.00005536213,0.0004391213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09149481,"threshold_uncertainty_score":0.3056148,"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."}}