{"id":"W2760928454","doi":"10.69554/fwbf9681","title":"Bitcoin awareness and usage in Canada","year":2018,"lang":"en","type":"article","venue":"Journal of digital banking.","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital currency; Database transaction; Currency; Cryptocurrency; Order (exchange); Value (mathematics); Business; Sample (material); Population; Virtual currency; Empirical evidence; Internet privacy; Commerce; Economics; Monetary economics; Finance; Computer security; Computer science; Sociology; Demography","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":[0.0009287533,0.0001596978,0.0002681582,0.002615182,0.002286355,0.001868846,0.000553683,0.0002798009,0.003274237],"category_scores_gemma":[0.005163276,0.0001577801,0.0003113125,0.007501558,0.0008619965,0.0006455496,0.000852775,0.0005565539,0.0002058853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02289042,"about_ca_system_score_gemma":0.0368192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930962,"about_ca_topic_score_gemma":0.9938599,"domain_scores_codex":[0.9988517,0.00007727924,0.00006594655,0.0001315436,0.0005532849,0.000320239],"domain_scores_gemma":[0.9913579,0.001093114,0.001548742,0.0001714593,0.004155979,0.001672821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008074373,0.00005377287,0.9460846,0.000122742,0.00003454452,0.0002029239,0.009030838,0.0002123661,0.0003903185,0.001331994,0.004364582,0.0380906],"study_design_scores_gemma":[0.00000329079,0.00002087442,0.9875102,0.00005889414,0.00001354231,0.00006272388,0.006420294,0.0003645003,0.0001494086,0.00005694242,0.005315735,0.00002345936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852862,0.0008045291,0.0001089096,0.001342956,0.00001358586,0.00002689718,0.004145958,0.00001648561,0.00825435],"genre_scores_gemma":[0.994904,0.001177138,0.0001234414,0.0001380032,0.000005473688,0.000009939398,0.001099369,0.000006727514,0.002535918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02289042,"threshold_uncertainty_score":0.1660824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009615105191746067,"score_gpt":0.2224749277925378,"score_spread":0.2128598226007917,"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."}}