{"id":"W2771537913","doi":"10.5539/ijef.v10n1p13","title":"The Liquidity of Bitcoin","year":2017,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Market liquidity; Monetary economics; Cryptocurrency; Economics; Business; Econometrics; Financial economics; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002703923,0.00002886886,0.00006641194,0.00002582296,0.0001336619,0.0000934198,0.00134065,0.00002539369,3.616747e-7],"category_scores_gemma":[0.00004440838,0.00002140301,0.00003246494,0.000007457925,0.0001275566,0.0001735846,0.0001856665,0.00006991487,5.857314e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009655954,"about_ca_system_score_gemma":0.00003334463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009057322,"about_ca_topic_score_gemma":0.0000145063,"domain_scores_codex":[0.9996809,0.000003764268,0.000191078,0.00005472415,0.00002812911,0.00004141762],"domain_scores_gemma":[0.9990361,0.00004325564,0.000541896,0.0002355934,0.0001345155,0.000008615561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005702467,0.00001339631,0.0003490968,2.948433e-7,0.00001617618,0.000001479608,0.00003218796,0.0000731519,0.00001524653,0.9248541,0.0001156041,0.07452355],"study_design_scores_gemma":[0.0005746096,0.0001125277,0.02948117,0.00002421151,0.000003878613,0.0001687242,0.00001586124,0.08810699,0.005178587,0.6274039,0.2488261,0.0001034047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765965,0.0004098554,0.007780271,0.01434469,0.0004829297,0.00001879615,0.000002963043,0.00000150143,0.0003625321],"genre_scores_gemma":[0.9900571,0.006336985,0.003486308,0.00004079452,0.00004984278,7.961341e-7,4.187682e-8,9.747184e-7,0.00002722362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2974502,"threshold_uncertainty_score":0.2491283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352006480823133,"score_gpt":0.2453287122383893,"score_spread":0.231808647430158,"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."}}