{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758449,0.001376204,0.001160693,0.0005198873,0.0004375601,0.001035159,0.001542593,0.002294997,0.008373886],"category_scores_gemma":[0.006033693,0.0006541973,0.0009571544,0.0003014015,0.001205771,0.001485959,0.00241322,0.003611197,0.002671223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008900164,"about_ca_system_score_gemma":0.0008004214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002669535,"about_ca_topic_score_gemma":0.004119158,"domain_scores_codex":[0.9990672,0.000286266,0.00003223243,0.0002524533,0.0002691322,0.00009258737],"domain_scores_gemma":[0.9987143,0.0007296092,0.00005547316,0.0002651122,0.000168051,0.00006743307],"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":[0.0007615013,0.000123265,0.0004610571,0.0002282416,0.0001894265,0.0003258589,0.0001108882,0.5646823,0.02354042,0.06769324,0.02279786,0.319086],"study_design_scores_gemma":[0.00001899425,0.00003800451,0.00005625305,0.00001103126,0.000007127037,0.00005128816,0.000003424969,0.9807135,0.00440496,0.01288054,0.00180775,0.000007038485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01027211,0.000368077,0.9820534,0.0003643808,0.0002090714,0.00005887935,0.0001681869,0.003407258,0.003098523],"genre_scores_gemma":[0.4327528,0.0003924496,0.5332881,0.0006407731,0.0003365993,0.0003630095,0.001076074,0.002046532,0.02910367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008373886,"threshold_uncertainty_score":0.02801347,"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."}}