{"id":"W4391247034","doi":"10.2139/ssrn.4708000","title":"Intraday and Daily Dynamics of Cryptocurrency","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Cryptocurrency; Dynamics (music); Computer science; Econometrics; Economics; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001594246,0.0002728276,0.0008548109,0.0005006181,0.00008753911,0.0001742903,0.0003762487,0.0002116312,0.0002011008],"category_scores_gemma":[0.000042361,0.0002869701,0.0003869868,0.0002266272,0.00006874502,0.00006545208,0.0005102114,0.003055342,0.00006133383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008772363,"about_ca_system_score_gemma":0.0006470974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119169,"about_ca_topic_score_gemma":0.002171766,"domain_scores_codex":[0.9972211,0.00002312595,0.001111225,0.0004632406,0.00006778992,0.001113552],"domain_scores_gemma":[0.9986227,0.00002470075,0.0008536053,0.0003580792,0.0000599979,0.00008092009],"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":[0.000008700983,0.00002779394,0.002534302,0.0001898577,0.000839567,0.000002429205,0.0002399758,0.00004652318,0.000001109352,0.9868031,0.0001198891,0.009186745],"study_design_scores_gemma":[0.000167348,0.0001073524,0.0004226419,0.0001018668,0.0000797919,0.00009684945,0.0004144958,0.01122277,8.327924e-7,0.9838635,0.003245213,0.0002773799],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5216712,0.4198648,0.02798845,0.004237189,0.003310318,0.0005215539,0.0008411115,0.00007911704,0.0214863],"genre_scores_gemma":[0.9769514,0.01972171,0.000122957,0.000009735842,0.0003324797,0.000007167131,0.00002929473,0.00004310218,0.002782161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4552802,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201139329987901,"score_gpt":0.2107306607494465,"score_spread":0.1987192674495674,"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."}}