{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005306825,0.0003280537,0.0003202708,0.0002091474,0.000300127,0.0007179613,0.001112802,0.0008347979,0.002370572],"category_scores_gemma":[0.001134857,0.0002126494,0.0003141701,0.0001883196,0.0009588014,0.0006960894,0.0009482937,0.0008166977,0.0003058308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516449,"about_ca_system_score_gemma":0.0007331246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003270972,"about_ca_topic_score_gemma":0.001484649,"domain_scores_codex":[0.9998517,0.0000441915,0.000006775855,0.00001621266,0.00006009975,0.00002105326],"domain_scores_gemma":[0.9996713,0.0001157675,0.00003163487,0.00007159708,0.00006914496,0.00004063849],"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":[0.0001441069,0.0001128666,0.000936865,0.00005530738,0.00002683368,0.0001643667,0.0002158837,0.8228291,0.02134441,0.1402124,0.001312651,0.01264518],"study_design_scores_gemma":[0.00001728378,0.00001557658,0.00004465999,0.000001842176,0.000001793956,0.000006471333,0.000004708399,0.9957806,0.0009900217,0.002552213,0.0005810948,0.00000371083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2075428,0.0001558065,0.777281,0.0004558417,0.000211984,0.0001045124,0.000124664,0.001059516,0.01306392],"genre_scores_gemma":[0.9044047,0.0001004742,0.08679552,0.00008761459,0.00004009774,0.00008168939,0.00007873993,0.0001608425,0.008250273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003270972,"threshold_uncertainty_score":0.007930338,"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."}}