{"id":"W4226368216","doi":"10.1109/access.2022.3170042","title":"Activation Function Modulation in Generative Triangular Recurrent Neural Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science; Recurrent neural network; Activation function; Artificial neural network; Chaotic; Algorithm; Artificial intelligence","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":[0.0008706988,0.0004618953,0.0003359637,0.0002322358,0.0001612436,0.000405754,0.0008275014,0.0006178552,0.000803366],"category_scores_gemma":[0.003285265,0.0002672875,0.0003560372,0.0002505551,0.0006660084,0.0006787123,0.0005157482,0.0007875771,0.0002121884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209491,"about_ca_system_score_gemma":0.0001949603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001451142,"about_ca_topic_score_gemma":0.001345223,"domain_scores_codex":[0.9997447,0.0001036451,0.0000134511,0.00005364767,0.00005500701,0.00002942228],"domain_scores_gemma":[0.9992746,0.0004794784,0.00008415728,0.00007681104,0.0000662656,0.00001884142],"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":[0.00004374671,0.00001380394,0.0003449518,0.0000228248,0.00001390065,0.00004865502,0.00006047943,0.9437737,0.005098166,0.01283102,0.0002431556,0.03750559],"study_design_scores_gemma":[9.792876e-7,0.00000668042,0.00003371336,0.000001367588,0.000001336382,0.000005578821,0.000001301833,0.9978249,0.0005835358,0.001457049,0.00008196501,0.000001643465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04063826,0.0002423661,0.9567259,0.0001285415,0.00002319179,0.00002256976,0.00002303819,0.0003481216,0.001848076],"genre_scores_gemma":[0.9373159,0.0001774685,0.06040072,0.00007095251,0.00002023013,0.00004750583,0.00005054038,0.00004489285,0.001871863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001451142,"threshold_uncertainty_score":0.004604757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103157873423388,"score_gpt":0.2943528619446574,"score_spread":0.2533212832104236,"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."}}