{"id":"W2949982775","doi":"10.13140/rg.2.1.3661.0407","title":"Difference Target Propagation","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Infinitesimal; Backpropagation; Computer science; Propagation of uncertainty; Nonlinear system; Relation (database); Wave propagation; Encoder; Algorithm; Artificial intelligence; Artificial neural network; Mathematics; Physics; Mathematical analysis","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":[0.0000973905,0.0001937817,0.0001850737,0.00008006734,0.0001462804,0.000120589,0.001547392,0.0001508812,0.0000132588],"category_scores_gemma":[0.000008577964,0.0002024845,0.0001028607,0.0003242455,0.00005701131,0.0001407262,0.001216412,0.0003683192,0.0001054349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006004013,"about_ca_system_score_gemma":0.00006764878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002793125,"about_ca_topic_score_gemma":0.000006682037,"domain_scores_codex":[0.9986975,0.00007385993,0.0001260086,0.0008135637,0.00006331599,0.0002258142],"domain_scores_gemma":[0.9985016,0.00005369491,0.0001796075,0.001058787,0.00009301373,0.0001133183],"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":[0.000003727403,0.0000595683,0.0009131539,0.00003731579,0.00001847803,0.0000221665,0.00004321729,0.215708,0.000115154,0.7798671,0.0008797618,0.00233241],"study_design_scores_gemma":[0.00009760962,0.00001716435,0.001771104,0.00003066451,0.0000115215,0.000001274063,0.000002219783,0.8548318,0.0001589008,0.1414842,0.00135597,0.0002375506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0948189,0.00001645531,0.9023985,0.00028973,0.0002705557,0.0002415648,0.00000413275,0.0002442937,0.001715816],"genre_scores_gemma":[0.9944846,0.00004411855,0.00328785,0.0001458227,0.0001129242,0.000002670726,0.00001748923,0.00000889455,0.001895647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8996657,"threshold_uncertainty_score":0.825708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05482958240973031,"score_gpt":0.1774534629175436,"score_spread":0.1226238805078133,"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."}}