{"id":"W2150126637","doi":"10.1109/ijcnn.1998.687256","title":"A distance based network for sequence processing","year":2002,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Guelph","funders":"","keywords":"Computer science; Artificial neural network; Simple (philosophy); Sequence (biology); Set (abstract data type); Artificial intelligence; Data mining; Programming language","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":[0.0008347781,0.0005278217,0.0005826242,0.0008466141,0.0005893798,0.001081046,0.001802029,0.001186247,0.006312599],"category_scores_gemma":[0.002819767,0.0002588703,0.0005118342,0.0009586302,0.0007349107,0.002441259,0.00119258,0.001368057,0.002241119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314724,"about_ca_system_score_gemma":0.001002221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005174666,"about_ca_topic_score_gemma":0.005952536,"domain_scores_codex":[0.9992093,0.0001336928,0.00005193963,0.0002456169,0.0003145208,0.00004494906],"domain_scores_gemma":[0.9994209,0.0002145693,0.0000383481,0.0001026517,0.0001889914,0.00003455029],"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":[0.000296093,0.0001169949,0.0005097539,0.0001906046,0.0000707601,0.0001111455,0.0001038915,0.229459,0.01603321,0.1379398,0.007396032,0.6077728],"study_design_scores_gemma":[0.00001486044,0.00006778695,0.000164775,0.00001495051,0.00001622188,0.00008616332,0.000009350116,0.9411135,0.004695056,0.0429358,0.01085957,0.00002195033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005486217,0.0005811441,0.9881764,0.0002292732,0.000109519,0.00005646159,0.0001311132,0.0007237906,0.004506107],"genre_scores_gemma":[0.2046172,0.001087337,0.7678115,0.0003689936,0.0001773772,0.0002474124,0.0007607578,0.0001833056,0.02474602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006312599,"threshold_uncertainty_score":0.02111781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05461712876700436,"score_gpt":0.2709054210762917,"score_spread":0.2162882923092873,"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."}}