{"id":"W4416740373","doi":"10.48550/arxiv.2506.08065","title":"Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Discriminative model; Context (archaeology); Probabilistic logic; Generative grammar; Bridge (graph theory); Generative model; Pairwise comparison; Bayesian probability; Domain (mathematical analysis)","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":[0.001520089,0.0005657104,0.0007235596,0.0006956473,0.0003664676,0.000898063,0.001381989,0.001421371,0.00219502],"category_scores_gemma":[0.007862455,0.0004821879,0.0008082014,0.0005142204,0.001949494,0.002365392,0.001959851,0.001989499,0.0002982609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009165101,"about_ca_system_score_gemma":0.0006596382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00321937,"about_ca_topic_score_gemma":0.002206411,"domain_scores_codex":[0.9995967,0.0001634789,0.00001463467,0.0001004284,0.00008339222,0.00004135114],"domain_scores_gemma":[0.9967293,0.002401213,0.0003617837,0.0002322697,0.0001328733,0.0001426621],"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":[0.00005294243,0.0000287714,0.001649216,0.00006084601,0.00004241486,0.0001288443,0.0001210945,0.8135018,0.002238839,0.1706541,0.0007417546,0.01077932],"study_design_scores_gemma":[0.000003875139,0.000007348983,0.00009899324,0.000003499074,0.000001911687,0.0000135262,0.000005565999,0.9567599,0.0002248672,0.04269022,0.0001850021,0.000005337339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07882178,0.0003105551,0.9161068,0.001277657,0.00005727044,0.00003058715,0.0001622537,0.0002103045,0.003022793],"genre_scores_gemma":[0.9369338,0.0003719623,0.05793439,0.0003515745,0.00009228952,0.00009677284,0.0002530797,0.0001050968,0.00386113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00321937,"threshold_uncertainty_score":0.008039057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621061178766849,"score_gpt":0.2800878642293071,"score_spread":0.2238772524416386,"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."}}