{"id":"W2364004482","doi":"","title":"Tandem system based on competing information","year":2011,"lang":"en","type":"article","venue":"Journal of Tsinghua University(Science and Technology)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Tandem; Computer science; Decoding methods; Perceptron; Artificial intelligence; Multilayer perceptron; Selection (genetic algorithm); Pattern recognition (psychology); Artificial neural network; Machine learning; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843481,0.00005438785,0.00008853166,0.000722756,0.000352201,0.00005679327,0.0007910315,0.00004499195,8.907385e-7],"category_scores_gemma":[0.00003222338,0.00004622046,0.00002036896,0.001496139,0.0002403516,0.001115674,0.0001214462,0.0001548373,0.000003375368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009569663,"about_ca_system_score_gemma":0.0001406015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002764249,"about_ca_topic_score_gemma":3.695957e-7,"domain_scores_codex":[0.9994088,0.000008822522,0.0001322536,0.00009197105,0.000224284,0.0001338904],"domain_scores_gemma":[0.9991196,0.00001979647,0.0002500518,0.0001693392,0.0003802016,0.000060989],"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":[0.00001963141,0.00008205639,0.004106605,0.00001745328,0.000009418538,0.00009297991,0.0005201784,0.000185228,0.002379723,0.8919751,0.0003360488,0.1002756],"study_design_scores_gemma":[0.00439615,0.003345599,0.02008047,0.001264361,0.0001119123,0.001593271,0.01392838,0.8095082,0.03961787,0.008545359,0.09638255,0.001225865],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4929537,0.00003667836,0.4724835,0.004931248,0.000449245,0.000186402,0.000001125499,0.0002943385,0.02866378],"genre_scores_gemma":[0.9786559,0.00000603088,0.02122593,0.00009547883,0.000008682585,6.696761e-8,3.865451e-8,9.137351e-7,0.000006963465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8834298,"threshold_uncertainty_score":0.2708881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009660123543860684,"score_gpt":0.1756202056033418,"score_spread":0.1659600820594811,"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."}}