{"id":"W2032326278","doi":"10.48550/arxiv.1207.6811","title":"Solving the heat-flow problem with transient relativistic fluid dynamics","year":2012,"lang":"en","type":"preprint","venue":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","topic":"Cosmology and Gravitation Theories","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Dissipative system; Kinetic theory; Physics; Fluid dynamics; Flow (mathematics); Classical mechanics; Boltzmann equation; Kinetic energy; Heat flow; Fluid mechanics; Mechanics; Theoretical physics; Thermodynamics; Thermal","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":[0.0009196549,0.0005657616,0.000762985,0.0005615976,0.0007065847,0.001236272,0.0009285458,0.001578013,0.002202769],"category_scores_gemma":[0.003486505,0.0003911669,0.000628458,0.0003786005,0.001951059,0.001249342,0.001721575,0.001091536,0.0002038662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008508154,"about_ca_system_score_gemma":0.001471442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004917155,"about_ca_topic_score_gemma":0.003274,"domain_scores_codex":[0.9997808,0.00009784909,0.000009673598,0.00002946517,0.0000476711,0.00003449191],"domain_scores_gemma":[0.9993042,0.0004966469,0.00005707955,0.00003715307,0.0000612251,0.00004376796],"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":[0.00008624195,0.00004598689,0.0007524324,0.0001607711,0.00003332402,0.0002460648,0.0002878528,0.6403442,0.001948041,0.3423476,0.001426899,0.01232067],"study_design_scores_gemma":[0.00002820488,0.00001786677,0.0001186363,0.000009640447,0.000006467848,0.00002641975,0.00006204331,0.9171402,0.0004254518,0.08107979,0.001077136,0.000008196776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1097128,0.0006936607,0.8667383,0.001502892,0.0002224755,0.00009300046,0.00008508789,0.0002545047,0.02069728],"genre_scores_gemma":[0.8005028,0.0005578928,0.1825564,0.0001715353,0.000247998,0.0002127451,0.0001334513,0.0001749549,0.01544214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004917155,"threshold_uncertainty_score":0.009777069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133379426277647,"score_gpt":0.2242397145108107,"score_spread":0.2129059202480343,"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."}}