{"id":"W7131092999","doi":"10.1109/iccvw69036.2025.00724","title":"Target Attribute Diffusion Models","year":2025,"lang":"","type":"article","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Waterloo","funders":"Google","keywords":"Sharpening; Brightness; Diffusion; Classifier (UML); Pattern recognition (psychology); Diffusion map; Motion (physics)","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":[0.001833506,0.001139908,0.00111261,0.0009271901,0.0004670858,0.001693281,0.001966776,0.00171498,0.006797783],"category_scores_gemma":[0.008472023,0.0004495853,0.001446557,0.0009567227,0.0008809369,0.003657673,0.001311324,0.002763757,0.002168091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238114,"about_ca_system_score_gemma":0.0005999972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003797525,"about_ca_topic_score_gemma":0.003311414,"domain_scores_codex":[0.9990325,0.0002512501,0.00005351603,0.0003495559,0.0002102527,0.0001030114],"domain_scores_gemma":[0.9967347,0.001769992,0.0002945225,0.0004085465,0.000657387,0.0001347365],"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":[0.0004729991,0.0002987364,0.003943194,0.0003003092,0.0001099517,0.0001686895,0.0004830408,0.6330579,0.01095865,0.1478728,0.009152571,0.1931811],"study_design_scores_gemma":[0.00001299016,0.00003235998,0.0002065288,0.000007073278,0.000009889229,0.000037121,0.00001398616,0.9797372,0.001129393,0.01757723,0.001225041,0.00001110272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03991229,0.0004869424,0.9517242,0.0005797144,0.0001400833,0.0001624867,0.000717618,0.001633619,0.004642989],"genre_scores_gemma":[0.7728828,0.0006243179,0.205046,0.0003724601,0.0001409281,0.0003949876,0.001474022,0.000421344,0.01864316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006797783,"threshold_uncertainty_score":0.0227409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268214983607249,"score_gpt":0.2438387857755675,"score_spread":0.221156635939495,"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."}}