{"id":"W3080107985","doi":"10.4018/ijrcm.2020100102","title":"Bitcoin Hype Analysis and Perspectives in the South Asian Market","year":2020,"lang":"en","type":"article","venue":"International Journal of Risk and Contingency Management","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual currency; Currency; Digital currency; Cryptocurrency; Government (linguistics); Order (exchange); Business; Legal tender; Circulation (fluid dynamics); Commerce; Economy; Economics; Monetary economics; Finance; Computer security; Engineering; Computer science","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":[0.0008339595,0.0001895601,0.0001332554,0.001818249,0.002567713,0.00609353,0.0002766726,0.0006558485,0.005648051],"category_scores_gemma":[0.001036012,0.0001042438,0.0001613984,0.00308303,0.004693819,0.00464332,0.001494878,0.001223728,0.000279972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002860351,"about_ca_system_score_gemma":0.002256357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005806577,"about_ca_topic_score_gemma":0.007264473,"domain_scores_codex":[0.9994955,0.0001809968,0.00001691753,0.00003807843,0.0001214014,0.000147073],"domain_scores_gemma":[0.9989451,0.0004432912,0.0002523793,0.00002515114,0.0001489558,0.0001851659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008482025,0.00008265698,0.02005302,0.0002682406,0.00001630033,0.003726552,0.1059837,0.0003453589,0.001273686,0.8371592,0.004116869,0.02688968],"study_design_scores_gemma":[0.0000145941,0.00008826046,0.0712947,0.0009125071,0.00003779621,0.002129687,0.612892,0.004021805,0.001412002,0.1247639,0.182372,0.00006080063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7336184,0.005003982,0.001696568,0.01429147,0.00009815137,0.00002607211,0.00006926397,0.00001264844,0.2451834],"genre_scores_gemma":[0.9938798,0.00193235,0.0001277945,0.0002243441,0.00002920516,0.000005660966,0.00001067402,0.000004982804,0.003785135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00609353,"threshold_uncertainty_score":0.02075338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130608359871713,"score_gpt":0.2331642564694822,"score_spread":0.2218581728707651,"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."}}