{"id":"W4240867637","doi":"10.23952/jnva.3.2019.3.05","title":"Large time behavior of solutions to wave equations arising from the linearized compressible Navier-Stokes-Poisson system","year":2019,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Navier-Stokes equation solutions","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"North China University of Water Resources and Electric Power","keywords":"Compressibility; Poisson distribution; Mathematical analysis; Navier–Stokes equations; Mathematics; Physics; Classical mechanics; Mechanics; Applied mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001574499,0.0001684955,0.0006678383,0.0004291942,0.0003154502,0.00007724798,0.0002352684,0.0001075678,0.0004965569],"category_scores_gemma":[0.0006041725,0.0001245864,0.0004798379,0.001194215,0.00003292221,0.0002431942,0.0001032012,0.0002834666,0.00005587194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273648,"about_ca_system_score_gemma":0.0001934514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001066798,"about_ca_topic_score_gemma":0.00005601954,"domain_scores_codex":[0.9973329,0.000285262,0.001198251,0.0001910595,0.0007711346,0.0002214313],"domain_scores_gemma":[0.9953622,0.002065747,0.001063973,0.0003505381,0.001017945,0.000139635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001305667,0.0117795,0.1435218,0.0005747899,0.04488912,0.00007116878,0.02949558,0.1461952,0.1166094,0.4919736,0.009671958,0.003912302],"study_design_scores_gemma":[0.002097224,0.0001507874,0.03272584,0.0002302356,0.009654043,0.00002582673,0.001116608,0.9483636,0.0002205805,0.003552569,0.001537539,0.0003251711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3493201,0.0002492297,0.64676,0.001456375,0.0002322376,0.0004435661,0.001240678,0.00002561194,0.0002721515],"genre_scores_gemma":[0.9170103,0.00001040587,0.08190451,0.00008029072,0.0003536219,0.000009909817,0.0001705297,0.00001915052,0.0004412839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8021684,"threshold_uncertainty_score":0.5436949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05682652981379262,"score_gpt":0.3206876985612589,"score_spread":0.2638611687474663,"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."}}