{"id":"W4386896055","doi":"10.20944/preprints202309.1149.v1","title":"Critical Review of Neural Network Generations and Models Design","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Interpretability; Artificial intelligence; Artificial neural network; Overfitting; Machine learning; Deep learning; Recurrent neural network; Nervous system network models; Convolutional neural network; Scalability; Types of artificial neural networks","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":[0.002489428,0.001168595,0.001018897,0.001470014,0.00049156,0.001851887,0.002268553,0.002343354,0.005913945],"category_scores_gemma":[0.008334344,0.0007466228,0.0008819855,0.001743531,0.001180092,0.003781674,0.0009655402,0.003508335,0.003028098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916428,"about_ca_system_score_gemma":0.001794004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002696991,"about_ca_topic_score_gemma":0.001699877,"domain_scores_codex":[0.9989876,0.0002797044,0.0001174924,0.0001917235,0.0003741003,0.00004937053],"domain_scores_gemma":[0.9971865,0.001641499,0.0001037721,0.0001863256,0.0008181041,0.00006376334],"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":[0.00007519118,0.00004165266,0.0004295632,0.004988093,0.0001515937,0.0001849254,0.0001227579,0.03137119,0.0009597583,0.3190375,0.1107414,0.5318964],"study_design_scores_gemma":[0.00001304359,0.00007689511,0.0003358227,0.002077863,0.00006305164,0.0004025071,0.00005069362,0.02143878,0.001218647,0.1828521,0.7914077,0.00006286275],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001269525,0.8380399,0.1135437,0.01663286,0.00891632,0.00004603339,0.0003517894,0.0003258044,0.02087405],"genre_scores_gemma":[0.02837611,0.9007511,0.04132099,0.005008646,0.009848219,0.0001558934,0.0005570004,0.0003394785,0.01364244],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005913945,"threshold_uncertainty_score":0.01978409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3530282270495351,"score_gpt":0.3795536248404555,"score_spread":0.02652539779092039,"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."}}