{"id":"W6948546696","doi":"10.5281/zenodo.10097785","title":"Unpredictability Exposure between Cryptocurrency with Different Developing and Emerging Stock Market","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock market; Stock (firearms); Stock market index; Liberian dollar; Stock market bubble; Cryptocurrency; Stock exchange; Emerging markets; Currency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006642077,0.0002010638,0.000215501,0.0006561452,0.0002472025,0.001150885,0.0001959189,0.0003953299,0.0032695],"category_scores_gemma":[0.003979398,0.00009514616,0.0003308163,0.0007899228,0.0002514892,0.000757964,0.0005033627,0.0007006921,0.000349362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396993,"about_ca_system_score_gemma":0.0002200171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004580295,"about_ca_topic_score_gemma":0.005217546,"domain_scores_codex":[0.9996657,0.00004765744,0.00003684971,0.00008784665,0.00008969708,0.00007215663],"domain_scores_gemma":[0.9969503,0.0009130369,0.001403261,0.0001596288,0.0002998789,0.0002739907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008308111,0.00003391685,0.9934684,0.000009709882,0.00007976508,0.0001902549,0.0001014387,0.001542308,0.0003266023,0.000593836,0.0003424717,0.003228023],"study_design_scores_gemma":[0.00000556215,0.00007955117,0.9837502,0.00001040211,0.00004781159,0.0001416585,0.0003410428,0.0138997,0.0003267167,0.0008387124,0.0005474649,0.00001130755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983353,0.0001009548,0.0002886212,0.0001424519,0.000009707672,0.000003571675,0.000244068,0.000005979229,0.0008692844],"genre_scores_gemma":[0.9993392,0.00004849718,0.00002845357,0.000009297269,0.00001008443,0.000001578176,0.0002170752,0.000001295392,0.0003445379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004580295,"threshold_uncertainty_score":0.01093757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797202003056658,"score_gpt":0.2161025322722247,"score_spread":0.1881305122416581,"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."}}