{"id":"W7130568756","doi":"10.5220/0013208500004568","title":"Prediction of DASH Price Based on Machine Learning","year":2024,"lang":"","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"","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":[0.0007452264,0.0005271293,0.0007271341,0.001287403,0.0002327894,0.0008685324,0.0005982803,0.0005303578,0.002001466],"category_scores_gemma":[0.002429529,0.0001661604,0.0004043803,0.0009965138,0.0001549624,0.00102382,0.0002489525,0.0008044565,0.0005324828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00041126,"about_ca_system_score_gemma":0.0004691538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006919558,"about_ca_topic_score_gemma":0.005631768,"domain_scores_codex":[0.999693,0.00005520712,0.00002509897,0.00007692885,0.00009741779,0.00005232427],"domain_scores_gemma":[0.9988445,0.0005752558,0.0001240086,0.00007298681,0.0003163091,0.00006698669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001094102,0.001359891,0.09648421,0.0001395859,0.0002633234,0.00032217,0.00005915704,0.5036986,0.007093045,0.004369732,0.008279599,0.3768367],"study_design_scores_gemma":[0.000005728356,0.00002236533,0.002533943,0.000001762793,0.000006251117,0.000005697078,0.000003777891,0.9966094,0.0003903524,0.0003370291,0.00008049173,0.000003224782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8343081,0.000705367,0.1572965,0.0005037119,0.0003899365,0.00007273453,0.0009590209,0.001010718,0.004753932],"genre_scores_gemma":[0.9849223,0.000147701,0.01243385,0.0000296167,0.00007897334,0.00002097616,0.0007251719,0.00001215082,0.00162918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006919558,"threshold_uncertainty_score":0.0137586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1293462262402578,"score_gpt":0.3882479403458795,"score_spread":0.2589017141056217,"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."}}