{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001916441,0.001563703,0.001411402,0.001202535,0.0006675511,0.002079451,0.003240346,0.002591222,0.01230549],"category_scores_gemma":[0.01013376,0.0006411704,0.001042026,0.001473809,0.001530749,0.003787789,0.002661999,0.00353777,0.00425814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190723,"about_ca_system_score_gemma":0.001581863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322996,"about_ca_topic_score_gemma":0.005523534,"domain_scores_codex":[0.9987707,0.0002206946,0.00006900541,0.0003148787,0.0004918746,0.0001328109],"domain_scores_gemma":[0.995808,0.002041091,0.0002182412,0.0007557439,0.001042804,0.0001340861],"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":[0.0005600401,0.0002291803,0.001778199,0.0003657052,0.0001652026,0.0002732347,0.0002111227,0.3757018,0.008801871,0.1546447,0.02495701,0.432312],"study_design_scores_gemma":[0.00002528077,0.00004551285,0.0001257766,0.000025582,0.00002654668,0.00007549101,0.00001173362,0.9397948,0.005506384,0.04959267,0.004752652,0.00001758394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007105418,0.0004485872,0.9817732,0.0005596186,0.0002702206,0.00007899007,0.0003086083,0.00248042,0.006974861],"genre_scores_gemma":[0.4615299,0.0009504469,0.4917027,0.001216827,0.0003836113,0.0003614878,0.001819911,0.001391814,0.04064337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01230549,"threshold_uncertainty_score":0.04116601,"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."}}