{"id":"W4200632125","doi":"","title":"VampNet : Vampirisation non supervisée de réseaux de convolution","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Convolution (computer science); Artificial intelligence; Artificial neural network","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009952685,0.0006069178,0.0006311258,0.0001900224,0.0008532353,0.001935447,0.002157066,0.0006343043,0.0004439876],"category_scores_gemma":[0.002213037,0.0007365245,0.0004603502,0.0008275729,0.0004187993,0.0008218857,0.002172654,0.0009937815,0.00009845512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000765702,"about_ca_system_score_gemma":0.001986797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021087,"about_ca_topic_score_gemma":0.004597268,"domain_scores_codex":[0.9816989,0.01437024,0.0008440529,0.001476678,0.0006289975,0.0009811828],"domain_scores_gemma":[0.9901354,0.001895802,0.0006455167,0.002826974,0.004013231,0.000483041],"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":[0.000048018,0.002977549,0.01337251,0.0006906776,0.0006734357,0.0001436207,0.1340535,0.03412081,0.07984717,0.3535828,0.01206913,0.3684207],"study_design_scores_gemma":[0.0005894012,0.000001152838,0.03087986,0.001771427,0.0001121455,0.00004707008,0.0004430303,0.8551198,0.09194803,0.004832929,0.01350323,0.0007518803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06275018,0.002003924,0.8913183,0.02764721,0.0008615888,0.0004861206,0.00003296453,0.000170536,0.01472922],"genre_scores_gemma":[0.6719733,0.001248653,0.3175429,0.000400843,0.0001541109,0.00007879995,0.0003742202,0.00004959832,0.008177554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.820999,"threshold_uncertainty_score":0.9995086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015156877827982,"score_gpt":0.2290615842986103,"score_spread":0.2089100155203305,"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."}}