{"id":"W2955658659","doi":"10.2139/ssrn.3379219","title":"Global Cryptoasset Regulatory Landscape Study","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":126,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trinity College","funders":"","keywords":"Bespoke; Context (archaeology); Regulatory authority; Salient; Regulatory reform; Environmental regulation; Business; Political science; Public economics; Economics; Public administration; Biology; Law","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":[0.0009613484,0.0002119056,0.0002023469,0.003876853,0.001417372,0.003773289,0.0004851526,0.0007325694,0.01317752],"category_scores_gemma":[0.002239025,0.000118873,0.0003119763,0.00682178,0.001559643,0.0023563,0.001533645,0.001281351,0.001276991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003004146,"about_ca_system_score_gemma":0.003170786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117638,"about_ca_topic_score_gemma":0.04154202,"domain_scores_codex":[0.9992737,0.000156332,0.00001822802,0.0001331377,0.000228121,0.0001904865],"domain_scores_gemma":[0.9983986,0.0004205447,0.0003535912,0.0001602689,0.0003829512,0.0002839982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009257697,0.0003740401,0.1461719,0.0005036508,0.0001105284,0.002676926,0.008975139,0.003602708,0.003172542,0.4814692,0.09758149,0.254436],"study_design_scores_gemma":[0.0001070314,0.0005059693,0.3606286,0.0005503325,0.0001187343,0.001848754,0.02094819,0.002611564,0.002280357,0.02095155,0.5893716,0.00007729106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5154811,0.0017675,0.001064418,0.006682937,0.0001140383,0.00007534091,0.002257738,0.000100676,0.4724562],"genre_scores_gemma":[0.9587775,0.001023543,0.00061331,0.001335006,0.00006366133,0.00003717287,0.001578653,0.00009681936,0.03647438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02117638,"threshold_uncertainty_score":0.04408318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006770268749326683,"score_gpt":0.2189392890476455,"score_spread":0.2121690202983188,"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."}}