{"id":"W7151816807","doi":"10.70675/49b8dee8z1e9cz4ba6z969bz371f1125517a","title":"Partitionnement de maillages pour l'équilibrage de charge de simulations multi-physiques","year":2023,"lang":"","type":"dissertation","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charge (physics); Context (archaeology); Agrégation; Lagrangian","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001219308,0.0008264974,0.0008805093,0.0005788931,0.000812983,0.00171608,0.001124967,0.001131891,0.004146984],"category_scores_gemma":[0.004150475,0.0004993294,0.0008229978,0.0007614009,0.0006884493,0.001515985,0.001013463,0.001171789,0.0009717418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097969,"about_ca_system_score_gemma":0.001221649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228254,"about_ca_topic_score_gemma":0.003176091,"domain_scores_codex":[0.9990925,0.0003092749,0.00004142637,0.0001377638,0.0003455714,0.00007354202],"domain_scores_gemma":[0.9979646,0.00114539,0.0001496554,0.0003588568,0.0003002624,0.0000812493],"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":[0.0003018414,0.0001645297,0.001642142,0.0004305921,0.00008169409,0.00009727029,0.0003813299,0.8124317,0.04593099,0.02823038,0.0006781843,0.1096294],"study_design_scores_gemma":[0.00007296196,0.000283233,0.001001499,0.00008846451,0.00004743231,0.00008603852,0.0001342763,0.9156641,0.0563426,0.01320073,0.01303666,0.00004200635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174331,0.00137845,0.8714175,0.0003240284,0.0001189989,0.0001288449,0.0001101489,0.001358488,0.00773053],"genre_scores_gemma":[0.547546,0.001315094,0.4430738,0.0001682825,0.00005091943,0.0003289683,0.0002340874,0.0006211355,0.00666162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004146984,"threshold_uncertainty_score":0.0138731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334891764421035,"score_gpt":0.4586990618199946,"score_spread":0.3252098853778911,"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."}}