{"id":"W4385489627","doi":"10.1007/978-3-031-33390-3_14","title":"Neural Networks","year":2023,"lang":"en","type":"book-chapter","venue":"Statisctics and computing/Statistics and computing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Initialization; Backpropagation; Artificial neural network; Normalization (sociology); Regularization (linguistics); Gradient descent; Stochastic gradient descent; Computer science; Artificial intelligence; Feedforward neural network; Nonlinear system; Dropout (neural networks); Feed forward; Algorithm; Mathematics; Pattern recognition (psychology); Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002752948,0.0006087798,0.0006462328,0.0001587306,0.0008498857,0.0008607137,0.0005853162,0.0002381459,0.000006467379],"category_scores_gemma":[0.00001906271,0.0006241549,0.00007773731,0.0001532982,0.0002184644,0.00008669605,0.001470107,0.0008403582,0.00001227409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001917371,"about_ca_system_score_gemma":0.00004480788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532994,"about_ca_topic_score_gemma":0.000009877569,"domain_scores_codex":[0.9971266,0.00003886946,0.0007520165,0.001073962,0.0003554937,0.0006530964],"domain_scores_gemma":[0.9973712,0.001066033,0.0005482907,0.0005607014,0.0001413925,0.0003123837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001611457,0.000007173799,0.00002122708,0.00004637123,0.00004376137,0.00006062087,0.0001047896,0.003342601,6.964463e-7,0.6920589,0.002684439,0.3016278],"study_design_scores_gemma":[0.0002184883,0.0001084772,0.0002773324,0.000138157,0.00005091431,0.00008038136,0.00001215705,0.853788,3.307026e-7,0.1385861,0.0061489,0.0005907934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001239783,0.0008289673,0.9866088,0.0003835321,0.0008764549,0.0003341428,0.0001086253,0.0003673917,0.0103681],"genre_scores_gemma":[0.3155575,0.004974764,0.5645449,0.003072161,0.003385646,0.00001603448,0.0006006178,0.00063755,0.1072109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8504454,"threshold_uncertainty_score":0.999621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097023155890035,"score_gpt":0.2522566464519125,"score_spread":0.2312864148930122,"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."}}