{"id":"W4385500468","doi":"10.2139/ssrn.4528742","title":"Optimal Staking and Liquid Token Holding Decisions in Cryptocurrency Markets","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cryptocurrency; Security token; Business; Token economy; Commerce; Economics; Computer science; Computer security; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00519183,0.0008697614,0.003585445,0.00112662,0.001300852,0.006007669,0.001943989,0.004479026,0.01607205],"category_scores_gemma":[0.02715881,0.00191481,0.0008603848,0.001345448,0.003556287,0.007744672,0.001707185,0.004454656,0.0008512909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003355708,"about_ca_system_score_gemma":0.004973575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006252449,"about_ca_topic_score_gemma":0.006431045,"domain_scores_codex":[0.998621,0.0005532099,0.00008074084,0.0002110909,0.0001202824,0.0004137747],"domain_scores_gemma":[0.9741082,0.02052011,0.002170375,0.0006198658,0.0008346486,0.001746794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002495829,0.0004658244,0.002101223,0.0003526757,0.0001178516,0.0005630258,0.0003589679,0.4934876,0.003047522,0.4778116,0.005197792,0.01400012],"study_design_scores_gemma":[0.0002903665,0.0002201925,0.0007847877,0.00004804767,0.00005140394,0.00004577375,0.0002506797,0.5950732,0.000868989,0.401606,0.0006912563,0.00006932722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8139023,0.00126771,0.1397991,0.005453879,0.0001998833,0.000256074,0.001033859,0.0004249262,0.03766229],"genre_scores_gemma":[0.9872264,0.000376261,0.003119707,0.00009548834,0.00003283658,0.00004883723,0.00009451575,0.00004369049,0.008962172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01607205,"threshold_uncertainty_score":0.05376643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330925662324786,"score_gpt":0.2641006188135661,"score_spread":0.2507913621903183,"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."}}