{"id":"W7092114753","doi":"","title":"Coordinate Condensation: Subspace-Accelerated Coordinate Descent for Physics-Based Simulation","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coordinate descent; Subspace topology; Coordinate system; Solver; Coordinate space; Linear subspace; Convergence (economics); Cartesian coordinate system","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":[0.00008861627,0.0001909798,0.000210042,0.00005215895,0.0002581204,0.00005710549,0.0001051253,0.00005683603,0.000220003],"category_scores_gemma":[0.000007422233,0.000190308,0.0001348176,0.0003188504,0.00004708673,0.0001452296,0.00002282427,0.0001405776,0.00003482082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004315085,"about_ca_system_score_gemma":0.00007464746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003054622,"about_ca_topic_score_gemma":0.000001729859,"domain_scores_codex":[0.9990346,0.00004435812,0.0002438275,0.0003167271,0.00008750542,0.0002729834],"domain_scores_gemma":[0.9992374,0.0001096492,0.0001223277,0.0002216346,0.0002432097,0.00006574208],"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":[0.0003536521,0.0004020216,0.3737029,0.00007809629,0.0002256897,0.000001174266,0.0001075073,0.5641114,0.0111276,0.02374634,0.004974416,0.02116917],"study_design_scores_gemma":[0.003092389,0.00007521683,0.03083917,0.00008036852,0.0001008243,9.352258e-8,0.0001031945,0.8949755,0.05507793,0.003453356,0.01179549,0.0004064609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7273403,0.00002006518,0.2697557,0.0008643969,0.0004436889,0.0004584285,0.00001554851,0.00007758854,0.001024238],"genre_scores_gemma":[0.9957526,0.000001115668,0.0001366218,0.000347608,0.0003140795,0.00009567888,0.0001581881,0.0000212475,0.003172879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3428638,"threshold_uncertainty_score":0.7760534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07286626291949083,"score_gpt":0.3336874890592845,"score_spread":0.2608212261397936,"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."}}