{"id":"W1582390718","doi":"10.5555/763438.763440","title":"Extended - input neural network applications, implementation and learning","year":2002,"lang":"en","type":"article","venue":"Neural, Parallel & Scientific Computations archive","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Polytechnic","funders":"","keywords":"Artificial neural network; Computer science; Nonlinear system; Binary number; Inverse; Encoder; Electronic circuit; XOR gate; Simple (philosophy); Input/output; Function (biology); Matrix (chemical analysis); Algorithm; Arithmetic; Topology (electrical circuits); Logic gate; Mathematics; Artificial intelligence; Engineering; Electrical engineering","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":[0.0003750957,0.0004397161,0.0003411932,0.0002528119,0.0002296083,0.0009449503,0.001159438,0.0006898834,0.007333819],"category_scores_gemma":[0.001305598,0.0002275125,0.0003319884,0.0004942243,0.0005517761,0.001251141,0.000799835,0.0009195138,0.001633124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004248581,"about_ca_system_score_gemma":0.0003405603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172286,"about_ca_topic_score_gemma":0.001752614,"domain_scores_codex":[0.999777,0.00005195566,0.00001763123,0.00004091533,0.00008455817,0.00002799269],"domain_scores_gemma":[0.999701,0.00008661927,0.00001500321,0.00007524141,0.0001077628,0.0000143796],"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":[0.000167331,0.00008604537,0.0007587718,0.0005652505,0.00008096924,0.0006746578,0.0002332629,0.1481739,0.02219962,0.2161627,0.008133377,0.6027641],"study_design_scores_gemma":[0.00002243027,0.00008954524,0.000384664,0.00009921307,0.00003318987,0.0006133744,0.00004721449,0.7945961,0.01800196,0.1301968,0.05588293,0.00003250576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007503557,0.001946512,0.9686615,0.0004123158,0.0002363111,0.00004223028,0.00007142447,0.001216673,0.01990932],"genre_scores_gemma":[0.3301054,0.004628176,0.6152105,0.0003479911,0.0002107353,0.0002353626,0.0003136279,0.0002426174,0.04870551],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007333819,"threshold_uncertainty_score":0.02453405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142315147233419,"score_gpt":0.2754415440694061,"score_spread":0.2540183925970719,"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."}}