{"id":"W6996794582","doi":"","title":"A Survey and Analysis on Sequence Learning Methodologies and Deep Neural Networks","year":2018,"lang":"en","type":"other","venue":"Research Open (London South Bank University)","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Deep learning; Sequence (biology); Variety (cybernetics); Sequence learning; Unsupervised learning","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003791176,0.0002850745,0.0006850241,0.002008243,0.0006476775,0.001028026,0.002163083,0.0002626344,0.0003392981],"category_scores_gemma":[0.0005190488,0.0002643863,0.0001152109,0.004136915,0.0005594002,0.0003563435,0.00420777,0.0007410693,0.00002509581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007264056,"about_ca_system_score_gemma":0.00006259752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003415773,"about_ca_topic_score_gemma":0.002582091,"domain_scores_codex":[0.9944645,0.003094431,0.0001694289,0.001136624,0.0004838929,0.0006511515],"domain_scores_gemma":[0.9974777,0.001085963,0.0002368736,0.0007222617,0.0002369557,0.0002403214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001279664,0.00017478,0.2859517,0.0003141683,0.01190571,0.002173619,0.00648344,0.0181695,0.00002880313,0.03602477,0.02880937,0.6086845],"study_design_scores_gemma":[0.0007623101,0.0007212161,0.01363747,0.0001226037,0.0003091262,0.000006605785,0.001109607,0.8630016,0.000003473471,0.00008202942,0.1193481,0.0008957852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003765539,0.002117219,0.5585064,0.0002939649,0.0001907778,0.001363698,0.0000717771,0.0004673997,0.4332232],"genre_scores_gemma":[0.08612606,0.001589029,0.03290693,0.00005980943,0.0001977761,0.000004242666,0.0001233437,0.0002026821,0.8787901],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8448322,"threshold_uncertainty_score":0.9999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805209541666244,"score_gpt":0.3620240731169208,"score_spread":0.1815031189502964,"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."}}