{"id":"W6991063819","doi":"","title":"Exclusive: Russia, Canada could emerge as China´s successors following Bitcoin mining ban: eToro´s Greenspan\\n(WorldNews China)","year":2019,"lang":"en","type":"other","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Payment; Cryptocurrency","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":[0.000861215,0.0003510975,0.0002077612,0.0006671781,0.006098056,0.005160708,0.0006321761,0.0029542,0.1038234],"category_scores_gemma":[0.001853073,0.0002863469,0.0003840502,0.0007485457,0.0009352855,0.002128098,0.001697865,0.003263149,0.02232263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008142759,"about_ca_system_score_gemma":0.01893922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3986239,"about_ca_topic_score_gemma":0.6247718,"domain_scores_codex":[0.9991561,0.00002842916,0.00001429961,0.00007040957,0.0003619568,0.0003687416],"domain_scores_gemma":[0.9988305,0.00006874032,0.00003719873,0.00006015379,0.0006059139,0.0003975587],"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":[0.0001239879,0.00006239481,0.001955448,0.00006510421,0.00001002892,0.0003083983,0.0005517569,0.0001397667,0.001013246,0.09440394,0.8737052,0.02766065],"study_design_scores_gemma":[0.00001444583,0.00001248556,0.003004924,0.00003045339,0.00000536941,0.00003146833,0.0002911796,0.0001581506,0.0008778686,0.00269387,0.9928614,0.00001845151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0154409,0.0004785257,0.001114266,0.01524673,0.002061141,0.0001533906,0.003621706,0.0006717714,0.9612116],"genre_scores_gemma":[0.02542928,0.000155545,0.0002584149,0.002549525,0.00007391661,0.00002813776,0.000889527,0.0001048703,0.9705108],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6013762,"threshold_uncertainty_score":0.7926072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005358243654828471,"score_gpt":0.2321785016205421,"score_spread":0.2268202579657136,"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."}}