{"id":"W4396681781","doi":"10.1051/epjconf/202429505019","title":"The ATLAS experiment software on ARM","year":2024,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"U.S. Department of Energy","keywords":"Large Hadron Collider; Software; Operating system; Porting; Grid; Computer science; Atlas (anatomy); Workflow; Exploit; ARM architecture; Benchmark (surveying); Embedded system; Database; Physics; Particle physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002963512,0.0001059597,0.0001255842,0.00004249044,0.0001182983,0.0004270948,0.0008957138,0.00003349649,0.00002614191],"category_scores_gemma":[0.00003300302,0.00006274275,0.00006961876,0.0001877746,0.00006787003,0.00007897901,0.0001070314,0.00009380946,0.0001159181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209437,"about_ca_system_score_gemma":0.000484057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003115462,"about_ca_topic_score_gemma":0.000005781463,"domain_scores_codex":[0.9989961,0.00006531824,0.0002121373,0.0002390859,0.0003062751,0.0001810573],"domain_scores_gemma":[0.999053,0.0004481175,0.00005488588,0.0003435586,0.000056292,0.00004413611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000455399,0.00003926969,0.0002017168,0.00002891411,0.0000421085,0.00001052394,0.0006023977,0.0001682191,0.0001336567,0.9328421,0.01699723,0.04892926],"study_design_scores_gemma":[0.0001310396,0.0003826123,0.0003634493,0.0003840034,0.000004920681,0.000008472246,0.000169975,0.04790844,0.005352064,0.01035208,0.9347358,0.0002071544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1306355,0.0174994,0.5300577,0.01003546,0.01543882,0.0007956658,0.00004084144,0.001860155,0.2936365],"genre_scores_gemma":[0.9984683,0.0000347822,0.000511526,0.00002630705,0.000103877,0.00001047645,0.000002252205,0.000003315917,0.0008391212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9224901,"threshold_uncertainty_score":0.4118485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02612949664719966,"score_gpt":0.2741244552281308,"score_spread":0.2479949585809311,"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."}}