{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003282693,0.0003879266,0.0003127225,0.0005066806,0.0003540787,0.0007994797,0.001430672,0.0005431304,0.007486761],"category_scores_gemma":[0.0006356579,0.0002107807,0.0002162237,0.0003146005,0.0002537958,0.0006075679,0.0003843353,0.0004757974,0.002185652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007174689,"about_ca_system_score_gemma":0.0008417499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002660087,"about_ca_topic_score_gemma":0.00185441,"domain_scores_codex":[0.9994366,0.00006086867,0.0000382703,0.0001116842,0.0002973262,0.00005521723],"domain_scores_gemma":[0.9996502,0.00002911993,0.00002198796,0.00003628664,0.0002428928,0.00001948756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004502808,0.0002169152,0.002897269,0.0006617535,0.00009047971,0.0005341595,0.0003079326,0.1146422,0.1244602,0.04032923,0.01576494,0.6996447],"study_design_scores_gemma":[0.00009317824,0.0005150929,0.001583002,0.00008689219,0.00007942188,0.0006535555,0.00007519297,0.7181454,0.1581056,0.005128612,0.1154648,0.00006928448],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01269513,0.0003030681,0.9492301,0.0002956314,0.0002239033,0.0003906132,0.0001763865,0.00532323,0.0313619],"genre_scores_gemma":[0.4882022,0.0005142909,0.4694934,0.0004244578,0.00008406753,0.000939663,0.0005590583,0.0002467144,0.0395361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007486761,"threshold_uncertainty_score":0.02504569,"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."}}