{"id":"W4375858688","doi":"10.32473/flairs.36.133140","title":"Using Bidirectional Associative Memory Neural Networks to Solve the N-bit Task","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... International Florida Artificial Intelligence Research Society Conference","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Content-addressable memory; Task (project management); Bidirectional associative memory; Identifier; Associative property; Artificial intelligence; Arithmetic; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002422927,0.0001899387,0.0001865173,0.0001228066,0.001054339,0.0006937868,0.004022941,0.000100198,0.0000334684],"category_scores_gemma":[0.0005831482,0.000131614,0.0002847319,0.003061316,0.0004154409,0.0005199907,0.001991885,0.0008177789,0.00005520564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002541463,"about_ca_system_score_gemma":0.0001817526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954693,"about_ca_topic_score_gemma":0.00002713094,"domain_scores_codex":[0.9965881,0.00003722873,0.0004877983,0.0005746651,0.001660293,0.0006519394],"domain_scores_gemma":[0.9961051,0.000771793,0.0002220871,0.0002855189,0.002477962,0.0001375388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003816669,0.0001061784,0.0005956988,0.00001872698,0.0001850314,0.000001046457,0.005464219,0.04436342,0.06565739,0.815604,0.03408302,0.03388304],"study_design_scores_gemma":[0.00001895113,0.00003310069,0.0004334081,0.00005224193,0.000006123827,0.000003773713,0.002021812,0.9300273,0.01970898,0.04650579,0.001042107,0.0001463915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4334846,0.00009824832,0.4169874,0.1313966,0.006282804,0.002232412,0.00007531956,0.0005696067,0.008872968],"genre_scores_gemma":[0.994809,0.00008285536,0.002833076,0.0004414433,0.0009293069,0.0001518764,0.000002869323,0.00001669836,0.000732876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8856639,"threshold_uncertainty_score":0.8109227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190795194833,"score_gpt":0.3981573109817071,"score_spread":0.1790777914984071,"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."}}