{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921339,0.001248299,0.0009770697,0.003958941,0.0003694794,0.001553252,0.00126297,0.001141181,0.006213167],"category_scores_gemma":[0.005511621,0.000444829,0.0006434032,0.007546305,0.0008037691,0.003333659,0.001033451,0.00161847,0.002628961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009213011,"about_ca_system_score_gemma":0.00133949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001600408,"about_ca_topic_score_gemma":0.001441689,"domain_scores_codex":[0.9988931,0.0002330161,0.0001395561,0.0002028441,0.0004865359,0.00004501148],"domain_scores_gemma":[0.9971325,0.001998331,0.0001493768,0.0001926883,0.0004756231,0.00005140596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004746494,0.00007917619,0.001073629,0.003419625,0.00007126799,0.0001026568,0.0001474415,0.01263854,0.001411073,0.1110583,0.01610393,0.8538469],"study_design_scores_gemma":[0.00001871326,0.0002142377,0.002532084,0.00355656,0.0001114808,0.001084502,0.0002472937,0.1155122,0.007410786,0.3597569,0.509436,0.0001193178],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004266871,0.2723395,0.6885101,0.003220805,0.0009688841,0.0001194324,0.0007962065,0.0008024583,0.02897575],"genre_scores_gemma":[0.06918838,0.5082433,0.4035544,0.001655967,0.002565281,0.0003661697,0.00228378,0.0003831019,0.01175957],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006213167,"threshold_uncertainty_score":0.02078509,"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."}}