{"id":"W4403309476","doi":"10.1016/j.frl.2024.106198","title":"Some stylized facts about bitcoin halving","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stylized fact; Cryptocurrency; Economics; Financial economics; Econometrics; Keynesian economics; Computer science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208359,0.0001191433,0.0001382784,0.0004593728,0.0003369701,0.0003565226,0.001450329,0.000106646,0.00001116607],"category_scores_gemma":[0.0001000653,0.0001107127,0.00006574367,0.001459776,0.0002630867,0.0004789079,0.000527232,0.0008636445,0.0005443128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001127506,"about_ca_system_score_gemma":0.0001215174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005475857,"about_ca_topic_score_gemma":0.000005924373,"domain_scores_codex":[0.9979071,0.0001126722,0.0001801985,0.0006251143,0.0004725388,0.0007023491],"domain_scores_gemma":[0.9986631,0.0002870245,0.00002131834,0.0009010774,0.00006600007,0.00006144983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001870183,0.00003023502,0.00006222673,0.00004801804,0.00001292925,0.0001541087,0.0003351967,0.00002138578,0.01357925,0.8702602,0.04123813,0.07425639],"study_design_scores_gemma":[0.0004372893,0.0001113418,0.006292348,0.0003636115,0.000003750374,0.00005271147,0.00004180351,0.1216497,0.02349651,0.1614257,0.6855514,0.0005738735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5752182,0.009691235,0.2422557,0.1692261,0.0005431303,0.0006954419,0.00001239674,0.00155663,0.0008011925],"genre_scores_gemma":[0.9879597,0.0005592216,0.009811097,0.0008896346,0.0001579649,0.0002167959,0.000002513453,0.00001557636,0.0003875094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7088346,"threshold_uncertainty_score":0.6996222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501048370027807,"score_gpt":0.3291189305498461,"score_spread":0.294108446849568,"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."}}