{"id":"W4409262948","doi":"10.1109/wacv61041.2025.00372","title":"A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization","year":2025,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perspective (graphical); Personalization; Computer science; Diffusion; Identity (music); Data science; World Wide Web; Artificial intelligence; Art; Physics; Aesthetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002691961,0.00006436657,0.00007982174,0.00008907192,0.0001158462,0.0001723876,0.0008378196,0.00003754716,0.000006127223],"category_scores_gemma":[0.0000994544,0.00005402977,0.00002108206,0.0002505268,0.000006235948,0.001462064,0.0003411135,0.00003317152,0.000002486094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008827209,"about_ca_system_score_gemma":0.00003552085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002362114,"about_ca_topic_score_gemma":0.0002055326,"domain_scores_codex":[0.9992678,0.00003364608,0.0001208749,0.0003607131,0.0001285983,0.00008839471],"domain_scores_gemma":[0.9990498,0.00007062563,0.00004943625,0.000656681,0.0001583757,0.00001507535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005262713,0.00004683928,0.00005320335,0.00002082461,0.000008801002,6.301285e-8,0.0002575279,9.571819e-7,0.001649293,0.9790881,0.01458986,0.004279326],"study_design_scores_gemma":[0.0009354144,0.000289693,0.004545044,0.000212962,0.00001464411,7.249982e-7,0.0006146498,0.5322969,0.02513305,0.3967353,0.03890919,0.0003123899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006504204,0.00002860527,0.9740177,0.003290575,0.0002379983,0.0004629754,0.000007523819,0.0002134605,0.02109071],"genre_scores_gemma":[0.9270431,0.00002466103,0.06563763,0.001092587,0.00006669792,0.000132348,0.00005594772,0.000005876971,0.005941093],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9263927,"threshold_uncertainty_score":0.220327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331411422650063,"score_gpt":0.3760236201284563,"score_spread":0.3127095059019557,"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."}}