{"id":"W7126222530","doi":"10.1109/iscmi67495.2025.11358601","title":"Hybrid Merging Projection Wasserstein Distance for Semantics-Aware Optimal Transport","year":2025,"lang":"","type":"article","venue":"","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"Qatar National Research Fund","keywords":"Projection (relational algebra); Random projection; Distribution (mathematics); Projection method; Probability distribution; Transfer (computing)","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":[0.001717177,0.001260817,0.001382988,0.001074785,0.0005440237,0.00173066,0.001835913,0.001395552,0.002894688],"category_scores_gemma":[0.004530152,0.000538131,0.001113113,0.001072342,0.001540582,0.003793783,0.003762176,0.002143974,0.000795965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246908,"about_ca_system_score_gemma":0.00172467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002583027,"about_ca_topic_score_gemma":0.002452134,"domain_scores_codex":[0.998821,0.0003262725,0.00007046534,0.0003116539,0.0003690586,0.0001014999],"domain_scores_gemma":[0.9989374,0.0004493223,0.0001034825,0.0002159526,0.0002185607,0.00007529315],"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":[0.0001447513,0.0000804582,0.0006575327,0.0001374318,0.00007833078,0.0001441028,0.0001614229,0.6870382,0.01240135,0.1296349,0.002484788,0.1670366],"study_design_scores_gemma":[0.000004190445,0.00002287568,0.00004373353,0.000005699711,0.000004820284,0.00003700293,0.000008195726,0.9696226,0.002331356,0.02714421,0.0007655054,0.00000987133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005154264,0.00008498938,0.9935869,0.00007155431,0.00001598043,0.00001619219,0.00003773298,0.0004093188,0.0006230591],"genre_scores_gemma":[0.373505,0.0003426596,0.6198108,0.0002155314,0.00006873017,0.000191537,0.0006336994,0.0008234547,0.004408535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002894688,"threshold_uncertainty_score":0.009683728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260144229698883,"score_gpt":0.252613752538447,"score_spread":0.2400123102414581,"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."}}