{"id":"W4392934792","doi":"10.1093/mnras/stae769","title":"Hyperbolic conduction: a fast, physical conduction model implemented in smoothed particle hydrodynamics","year":2024,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Compute Canada","keywords":"Physics; Smoothed-particle hydrodynamics; Thermal conduction; Statistical physics; Mechanics; Computational physics; Classical mechanics; Astrophysics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008018765,0.0001401183,0.0001753121,0.0000208719,0.00006346604,0.00004770463,0.000149205,0.00005819652,0.00002997928],"category_scores_gemma":[0.000007066823,0.0001155671,0.0002638203,0.000163836,0.00008285075,0.0002019659,0.00005878062,0.0002764017,0.00001011788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348123,"about_ca_system_score_gemma":0.00002424279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114455,"about_ca_topic_score_gemma":0.00007132319,"domain_scores_codex":[0.9991866,0.00002063409,0.0002833141,0.0001810068,0.0001041778,0.0002243016],"domain_scores_gemma":[0.9996445,0.00006273905,0.00002892586,0.0001980403,0.00002120858,0.00004463945],"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":[0.000005484345,0.00006393147,0.0005013676,0.00002475686,0.00006959096,4.647696e-8,0.0004714968,0.9959783,0.001768833,0.0005174303,0.0002247217,0.0003740387],"study_design_scores_gemma":[0.0002225888,0.00001796395,0.002621373,0.00002609266,0.00004149583,2.654695e-8,0.0002353639,0.9959438,0.0005262658,0.00007274198,0.000183537,0.000108769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973309,0.00006955341,0.001336885,0.0002629639,0.0003957424,0.0001623857,0.00007064804,0.0001119661,0.0002589571],"genre_scores_gemma":[0.998647,3.710467e-7,0.001002725,0.000007474392,0.0001111242,0.00002324023,0.00001502393,0.00002692811,0.0001661626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002120005,"threshold_uncertainty_score":0.4712689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010542156983301,"score_gpt":0.2317322457065367,"score_spread":0.2211900887232357,"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."}}