{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007294776,0.0008722728,0.0008652321,0.000481117,0.0005985547,0.0009997502,0.001747092,0.0009991284,0.005328666],"category_scores_gemma":[0.002765975,0.0004370169,0.000684874,0.0005453757,0.0009548008,0.001087227,0.002081902,0.001578536,0.00174093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006294874,"about_ca_system_score_gemma":0.001819997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004776507,"about_ca_topic_score_gemma":0.006291041,"domain_scores_codex":[0.9995864,0.0001383331,0.00001538514,0.00005122593,0.0001640101,0.00004471458],"domain_scores_gemma":[0.9993263,0.0002033724,0.00005311427,0.0001640286,0.0001813504,0.00007177257],"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":[0.0001054262,0.0001018456,0.001126335,0.0001155767,0.00007812878,0.0001353777,0.0001331575,0.8370422,0.009012014,0.08217858,0.01046351,0.0595079],"study_design_scores_gemma":[0.00001018659,0.00001211045,0.00003209495,0.000003903483,0.000002159558,0.000008559491,0.000004045887,0.9914165,0.0008694098,0.005909718,0.001727114,0.000004235946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008575482,0.0001364788,0.9846065,0.0002506308,0.0001042388,0.00005939088,0.0001339251,0.001568319,0.004565013],"genre_scores_gemma":[0.2867595,0.0003295959,0.7031065,0.0003607797,0.0001529356,0.0003447502,0.0006603042,0.001496325,0.006789289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005328666,"threshold_uncertainty_score":0.01782614,"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."}}