{"id":"W3182090508","doi":"10.36001/phme.2021.v6i1.2867","title":"Generative Adversarial Networks used for latent space Optimization: a comparative study for the Classification of Partial Discharge Sources","year":2021,"lang":"en","type":"article","venue":"PHM Society European Conference","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adversarial system; Generative grammar; Artificial intelligence; Space (punctuation); Generative adversarial network; Computer science; Machine learning; Deep learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007366289,0.002047334,0.002055142,0.001629234,0.0005304322,0.001746928,0.001624007,0.001962317,0.002048232],"category_scores_gemma":[0.01088641,0.0004124327,0.001733215,0.0009474457,0.00107367,0.001887574,0.001481894,0.003047054,0.0006528349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307123,"about_ca_system_score_gemma":0.00115317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009907246,"about_ca_topic_score_gemma":0.004939455,"domain_scores_codex":[0.9973484,0.001599964,0.0001240157,0.0003673922,0.0003432681,0.0002169055],"domain_scores_gemma":[0.98487,0.0130953,0.0004043947,0.0004737565,0.0008691259,0.0002874997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005767394,0.0002938023,0.003697603,0.0002269264,0.0003552501,0.0001095381,0.00009887591,0.9070882,0.0005670952,0.004153488,0.002520284,0.08031224],"study_design_scores_gemma":[0.00000876809,0.00004548086,0.0003065946,0.0000158104,0.00001892588,0.00001258004,0.00001695717,0.9980304,0.0001490869,0.001194742,0.0001939583,0.000006640276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2816443,0.02769115,0.6699467,0.004385712,0.0009814294,0.0003514049,0.001036864,0.002227184,0.01173519],"genre_scores_gemma":[0.9294962,0.003666514,0.05878775,0.0007659623,0.0003836612,0.0001421264,0.001904737,0.0001779845,0.004675001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009907246,"threshold_uncertainty_score":0.03895712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.079507124730251,"score_gpt":0.2824384107561199,"score_spread":0.2029312860258689,"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."}}