{"id":"W4384655928","doi":"10.1093/mnras/stad2157","title":"3D hydrodynamic simulations of massive main-sequence stars – I. Dynamics and mixing of convection and internal gravity waves","year":2023,"lang":"en","type":"article","venue":"Monthly Notices of the Royal Astronomical Society","topic":"Stellar, planetary, and galactic studies","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Internal wave; Scaling; Convection; Mixing (physics); Astrophysics; Mechanics; Geometry; Quantum mechanics","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":[0.0005202164,0.0005848943,0.0008624109,0.0005123109,0.0009327991,0.0008770369,0.001239071,0.001465401,0.00201347],"category_scores_gemma":[0.001847563,0.0004487186,0.001132927,0.0006315226,0.001199742,0.0004495254,0.000802602,0.001227736,0.0002323465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694826,"about_ca_system_score_gemma":0.001163363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03017174,"about_ca_topic_score_gemma":0.01439698,"domain_scores_codex":[0.9997815,0.00005200944,0.0000137323,0.00002963256,0.00005172191,0.00007139488],"domain_scores_gemma":[0.9987198,0.0006220317,0.0001166305,0.00008982894,0.0002023176,0.0002493628],"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":[0.0001790148,0.0001844801,0.006800669,0.00002759929,0.0000605956,0.0001431613,0.00009041282,0.9882784,0.001881733,0.001039629,0.0003410288,0.0009732534],"study_design_scores_gemma":[0.0000519491,0.00005357842,0.002295323,0.000005282889,0.00000779118,0.00001036201,0.00003537354,0.9966067,0.000484079,0.000278178,0.0001620462,0.000009311101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923903,0.00005751702,0.00227258,0.0002132355,0.00002895466,0.00003983419,0.0006919076,0.0001484872,0.004157002],"genre_scores_gemma":[0.9961193,0.00004281347,0.002371701,0.00008641542,0.0000140631,0.00005543571,0.0006089737,0.00005252003,0.0006489283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03017174,"threshold_uncertainty_score":0.05999225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008539589069000332,"score_gpt":0.2183441958600307,"score_spread":0.2098046067910304,"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."}}