{"id":"W3197123010","doi":"","title":"Hype around Bitcoin: Awareness and Prospective in India","year":2019,"lang":"en","type":"article","venue":"International Journal of Management, IT, and Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual currency; Digital currency; Currency; Government (linguistics); Cryptocurrency; Business; Legal tender; Order (exchange); Commerce; Economics; Computer security; Finance; Monetary economics; 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":[0.001324211,0.0001828501,0.0002699237,0.001123725,0.005106418,0.005255059,0.0004981355,0.001027648,0.002757329],"category_scores_gemma":[0.003351662,0.0003324191,0.0002417529,0.001644735,0.005272376,0.003071148,0.00267435,0.003195712,0.0003187319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534642,"about_ca_system_score_gemma":0.002738964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01215045,"about_ca_topic_score_gemma":0.009306899,"domain_scores_codex":[0.9983556,0.000539232,0.00007439481,0.0001198657,0.0004085691,0.0005022975],"domain_scores_gemma":[0.9947707,0.002070135,0.001306809,0.0002131635,0.0005058095,0.001133451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001010754,0.0002238659,0.1071903,0.000250067,0.00002565274,0.003276408,0.8338546,0.0001029224,0.002817749,0.01930082,0.003669436,0.02918707],"study_design_scores_gemma":[0.000004851863,0.0001433712,0.07815808,0.0001867681,0.00002793575,0.002529198,0.8868158,0.0002570899,0.0005690214,0.00200105,0.0292386,0.00006810574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981163,0.0006821455,0.0001282631,0.005577979,0.00004515241,0.00001162429,0.00002303165,0.000008854253,0.0123599],"genre_scores_gemma":[0.997779,0.0005490574,0.00003161952,0.0006358681,0.00001439168,0.000003149485,0.000005142405,0.00000285562,0.0009790816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01215045,"threshold_uncertainty_score":0.02415949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004867932644224883,"score_gpt":0.2211151160411471,"score_spread":0.2162471833969222,"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."}}