{"id":"W3135757745","doi":"10.1109/cloudtech49835.2020.9365913","title":"An Artificial Neural Networks Based Ensemble System to Forecast Bitcoin Daily Trading Volume","year":2020,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Artificial neural network; Ensemble forecasting; Artificial intelligence; Machine learning; Volume (thermodynamics); Feedforward neural network; Feed forward; Ensemble learning; Cryptocurrency; Data mining; Engineering","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":[0.000763631,0.0009276386,0.0008299953,0.0008989542,0.0005489186,0.0009279157,0.000841337,0.0006541762,0.001245589],"category_scores_gemma":[0.00160897,0.0003688401,0.0006608366,0.0008064954,0.0001585245,0.001173623,0.0006540346,0.001107093,0.0004335873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005861734,"about_ca_system_score_gemma":0.0007313482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058537,"about_ca_topic_score_gemma":0.01839044,"domain_scores_codex":[0.9996561,0.00004507925,0.00003128295,0.000105318,0.0001126207,0.00004951422],"domain_scores_gemma":[0.9994623,0.0001067628,0.00006473267,0.00004516888,0.0002914808,0.00002958871],"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":[0.0002337371,0.0001606925,0.01078004,0.00007248459,0.0002166229,0.0002056106,0.0001325708,0.706439,0.007497928,0.001454766,0.003785949,0.2690206],"study_design_scores_gemma":[0.000002382928,0.00001567394,0.0006176351,0.000004028881,0.00001902955,0.000008882548,0.000006004882,0.9981269,0.0006407886,0.0003012535,0.0002515285,0.000005825195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2056462,0.00168638,0.7772345,0.0006048441,0.0004243331,0.0001160979,0.0007220304,0.003970997,0.009594548],"genre_scores_gemma":[0.9534169,0.0004314333,0.04231357,0.0001051426,0.00009549536,0.00007318833,0.0006235745,0.00005351764,0.002887215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02058537,"threshold_uncertainty_score":0.04093111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1678388447343128,"score_gpt":0.3748481718661663,"score_spread":0.2070093271318535,"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."}}