{"id":"W4390995647","doi":"10.23977/jeis.2023.080616","title":"Design and Implementation of Neural Network Digital Recognition","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Time delay neural network; Artificial intelligence; Intelligent character recognition; Digital image; Pattern recognition (psychology); Image (mathematics); Image processing; Character recognition","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730812,0.00002765546,0.0000439538,0.00009854808,0.00005696069,0.0000593739,0.00003713627,0.000008037406,0.000001438637],"category_scores_gemma":[0.000009472232,0.00002394782,0.000007386634,0.0003976008,0.00003045056,0.00305732,0.000008461065,0.00004485641,8.600418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001529905,"about_ca_system_score_gemma":0.00003133794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.955959e-7,"about_ca_topic_score_gemma":1.296031e-7,"domain_scores_codex":[0.9995834,0.000001573715,0.0001957353,0.00001894551,0.0001069285,0.00009347279],"domain_scores_gemma":[0.9997313,0.00002093668,0.00009558936,0.00002116586,0.00010261,0.00002841568],"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":[0.000004520057,0.00000198726,0.0001154963,0.00001491009,0.000004980959,1.067793e-7,0.0004330338,0.1618835,0.002795525,0.002093665,0.0002243596,0.8324279],"study_design_scores_gemma":[0.0004464361,0.0002841538,0.01030719,0.00001947974,0.00000914163,0.00005729122,0.0006770674,0.9663481,0.007151837,0.008735133,0.005848588,0.000115591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996003,0.0001589856,0.19987,0.0000810069,0.00006012767,0.00008550363,0.000003980824,0.0000164478,0.0001236234],"genre_scores_gemma":[0.9959621,0.001182839,0.002817683,0.00001321864,0.00001770735,0.000001395711,0.000002881259,0.00000143887,6.659708e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8323123,"threshold_uncertainty_score":0.2216483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184573826709822,"score_gpt":0.2639560256162762,"score_spread":0.252110287349178,"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."}}