{"id":"W2807947879","doi":"10.48550/arxiv.1806.04418","title":"Quaternion Recurrent Neural Networks","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Quaternion; Computer science; Recurrent neural network; Artificial neural network; Artificial intelligence; Mathematics; Geometry","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":[0.0004151167,0.0008651884,0.0005632892,0.0003631886,0.000278935,0.001090629,0.001182107,0.0007857977,0.006463616],"category_scores_gemma":[0.001936654,0.0003194752,0.0005057332,0.0006151039,0.0005386747,0.001746977,0.0008021218,0.0009127281,0.00247286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005571436,"about_ca_system_score_gemma":0.0004484057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307411,"about_ca_topic_score_gemma":0.003496391,"domain_scores_codex":[0.9996158,0.00006652845,0.00003082833,0.0001302937,0.000114539,0.00004192933],"domain_scores_gemma":[0.9995952,0.0001082686,0.00006571879,0.00008134194,0.0001310715,0.00001833409],"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":[0.0003598756,0.00008928679,0.001471288,0.0004500934,0.0001775763,0.0003704553,0.0001832467,0.4106862,0.05045287,0.1023598,0.01674823,0.416651],"study_design_scores_gemma":[0.000013531,0.00005277175,0.0003376698,0.00002358632,0.00002344009,0.00008570391,0.00001841205,0.951189,0.01037,0.02755839,0.01030169,0.00002568747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02038332,0.001798618,0.9633473,0.0004296569,0.0004858751,0.00005954211,0.0006959375,0.003382039,0.009417652],"genre_scores_gemma":[0.6654751,0.003013924,0.3006784,0.0007160557,0.000419122,0.0001804883,0.002931021,0.0005027143,0.02608329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006463616,"threshold_uncertainty_score":0.02162296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07588062035796499,"score_gpt":0.1997878512877473,"score_spread":0.1239072309297823,"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."}}