{"id":"W4210986262","doi":"10.1080/14735970.2021.2012884","title":"The development and regulation of robo-advisors in Hong Kong: empirical and comparative perspectives","year":2022,"lang":"en","type":"article","venue":"Journal of Corporate Law Studies","topic":"State Capitalism and Financial Governance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Arbitrage; Enforcement; Promotion (chess); Strengths and weaknesses; Mainland China; Business; Balance (ability); China; Outsourcing; Economics; Accounting; Compliance (psychology); Finance; Public relations; Political science; Law; Marketing","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":[0.00354444,0.0001625027,0.000336212,0.002463551,0.001918938,0.004588241,0.0009673518,0.0006797797,0.004509015],"category_scores_gemma":[0.005278281,0.0002349402,0.0002662318,0.00389763,0.006700892,0.002848965,0.001398191,0.001017873,0.0002193044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561854,"about_ca_system_score_gemma":0.01128803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4062149,"about_ca_topic_score_gemma":0.3695429,"domain_scores_codex":[0.997141,0.0008333478,0.0001682284,0.0002492984,0.0005827047,0.001025445],"domain_scores_gemma":[0.9898573,0.003629873,0.002843552,0.0006024452,0.002289059,0.0007777369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002804009,0.0002887395,0.3635866,0.0009240566,0.0001574552,0.003016579,0.08225663,0.00309588,0.0009046588,0.4633398,0.006908879,0.07524036],"study_design_scores_gemma":[0.00003129631,0.0002051962,0.7459329,0.0008328962,0.0001282583,0.0003785025,0.1315975,0.00272534,0.00153955,0.008704079,0.1077975,0.0001268416],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792219,0.006085854,0.0009563327,0.003700199,0.00004621099,0.00008383801,0.0002512967,0.00001264387,0.1096418],"genre_scores_gemma":[0.9909732,0.002024297,0.0001583634,0.000235292,0.00001156347,0.0000137985,0.00006499208,0.000003042945,0.006515344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062149,"threshold_uncertainty_score":0.807701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173332094722183,"score_gpt":0.2907535093902635,"score_spread":0.1734202999180451,"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."}}