{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001324152,0.00005292627,0.0001105262,0.0001052882,0.00004557342,0.00008061145,0.0004211979,0.00003015251,0.00000332559],"category_scores_gemma":[0.00003222033,0.00004467599,0.00001526622,0.000268964,0.00005496112,0.0003327442,0.0001177977,0.0001228536,0.000001219373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007640105,"about_ca_system_score_gemma":0.000431381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01631553,"about_ca_topic_score_gemma":0.1471508,"domain_scores_codex":[0.9994432,0.000007389304,0.0002093041,0.00009364227,0.0001298849,0.0001165393],"domain_scores_gemma":[0.999559,0.00004663988,0.0001210492,0.0001541841,0.00007896442,0.00004014641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001579425,0.0001620265,0.4906029,0.00001858337,0.00003741788,0.0002930703,0.0008518017,0.00001470803,0.0003005667,0.08879606,0.002756652,0.4161505],"study_design_scores_gemma":[0.002788735,0.0009422154,0.4556388,0.0002971647,0.00001889112,0.003064082,0.0005532826,0.03960278,0.01088419,0.4129086,0.07226152,0.001039724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804365,0.0001449558,0.01697068,0.001380429,0.0001141039,0.00002683128,0.000001654297,0.00000891392,0.0009159411],"genre_scores_gemma":[0.9986632,0.00000730267,0.001163865,0.0001152901,0.00003936741,6.058538e-7,9.797716e-8,0.000002131794,0.000008155329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4151107,"threshold_uncertainty_score":0.9902349,"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."}}