{"id":"W4404131455","doi":"10.1137/1.9781611978162.ch6","title":"Chapter 6: Autoencoder Neural Networks","year":2024,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Autoencoder; Artificial neural network; Computer science; Artificial intelligence","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":[0.0002983155,0.0008385489,0.0004855458,0.00061531,0.0002395788,0.001238371,0.0007791842,0.001062427,0.02081445],"category_scores_gemma":[0.001085765,0.00034229,0.0004267577,0.001034888,0.0003372313,0.001226476,0.0006988019,0.001729461,0.01109848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004587891,"about_ca_system_score_gemma":0.000417195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425983,"about_ca_topic_score_gemma":0.002233031,"domain_scores_codex":[0.9997433,0.00003865131,0.00001536774,0.00005888205,0.0001279091,0.00001592227],"domain_scores_gemma":[0.9998394,0.00006744307,0.000006854858,0.0000216421,0.00005681725,0.000007695461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004908942,0.00008615075,0.0002856864,0.0009772219,0.0001034913,0.00009870292,0.0001021004,0.06727773,0.004169074,0.06881898,0.1179767,0.740055],"study_design_scores_gemma":[0.00001457117,0.00006190193,0.0006024541,0.0006735889,0.00004319374,0.0002013487,0.00004565719,0.2032261,0.006512874,0.09822255,0.6903592,0.00003660544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003469155,0.07603921,0.7634673,0.002881404,0.003712429,0.000121868,0.001151439,0.002643706,0.1465135],"genre_scores_gemma":[0.07187071,0.1093337,0.4423585,0.002271221,0.004097464,0.0003895067,0.005485905,0.001518866,0.3626741],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02081445,"threshold_uncertainty_score":0.06963128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467811406183863,"score_gpt":0.2421726568561086,"score_spread":0.18749454279427,"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."}}