{"id":"W4411016484","doi":"10.1145/3714393.3726502","title":"<scp>Espresso:</scp> Robust Concept Filtering in Text-to-Image Models","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universitas Brawijaya; Government of Ontario","keywords":"Computer science; Artificial intelligence; Computer vision; Image (mathematics); Information retrieval","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002172758,0.0010958,0.0006658391,0.0006495595,0.000350719,0.001422037,0.002223993,0.001838632,0.008311242],"category_scores_gemma":[0.00660639,0.0004976886,0.0009962883,0.0005296279,0.001005446,0.002783963,0.00176056,0.002482442,0.004319888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051783,"about_ca_system_score_gemma":0.001143242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007840284,"about_ca_topic_score_gemma":0.01160579,"domain_scores_codex":[0.9993896,0.000111548,0.00003628279,0.0001385064,0.0002631158,0.00006071647],"domain_scores_gemma":[0.9980336,0.0007415839,0.000141936,0.0006832918,0.0003255797,0.00007397462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003864478,0.0002146302,0.001444333,0.0003766787,0.0001936222,0.0003572729,0.0001414063,0.4566722,0.02198454,0.05454233,0.08415274,0.3795339],"study_design_scores_gemma":[0.00001717436,0.00003924979,0.0001414493,0.00001287214,0.000007107465,0.00007273221,0.000009076716,0.9757415,0.009606184,0.008378344,0.005962915,0.00001132396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01264868,0.0004805198,0.9628898,0.001022986,0.0001852337,0.0002111321,0.001108144,0.01550416,0.005949315],"genre_scores_gemma":[0.3414536,0.000878198,0.624522,0.001344009,0.0002202294,0.000462812,0.005065394,0.002425044,0.02362865],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008311242,"threshold_uncertainty_score":0.0278039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035301271928728,"score_gpt":0.2886374616382977,"score_spread":0.2582844489190104,"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."}}