{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733083,0.0008679301,0.001189883,0.00111739,0.0009510122,0.002002579,0.002436484,0.00189683,0.002822267],"category_scores_gemma":[0.00884096,0.0004961544,0.001290916,0.00164235,0.001470155,0.004146419,0.002892845,0.003014446,0.001557607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137797,"about_ca_system_score_gemma":0.000904327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003215902,"about_ca_topic_score_gemma":0.003800916,"domain_scores_codex":[0.9983413,0.0005459959,0.00009424363,0.0005104635,0.0003965875,0.0001114332],"domain_scores_gemma":[0.9951467,0.001259088,0.0003065729,0.002629987,0.0005134245,0.0001442905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005955777,0.0004538456,0.004994588,0.0003866736,0.0002538221,0.0002697047,0.001138596,0.3358082,0.04137403,0.2259005,0.01514764,0.3736768],"study_design_scores_gemma":[0.00003869462,0.000130277,0.0007634236,0.0000303739,0.00005723441,0.0002192591,0.0001288008,0.8753815,0.01719797,0.09229804,0.01371339,0.00004099959],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01751325,0.0002966711,0.9782013,0.0007206505,0.00006139772,0.00005757116,0.0003727145,0.0007720771,0.002004377],"genre_scores_gemma":[0.5097675,0.0006053661,0.4770378,0.000593371,0.0002661697,0.0002438701,0.00190264,0.0004138175,0.009169392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003215902,"threshold_uncertainty_score":0.01445407,"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."}}