{"id":"W4414882466","doi":"10.1051/epjconf/202533701062","title":"Building Scalable Analysis Infrastructure for ATLAS","year":2025,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Scalability; Workflow; Software deployment; Atlas (anatomy); Software; Computer cluster; Interface (matter); Large Hadron Collider; High availability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003103728,0.0008115941,0.0006004677,0.001306363,0.001414825,0.003364278,0.002653961,0.0006098537,0.006838461],"category_scores_gemma":[0.003932326,0.0006778428,0.0007158294,0.001601445,0.001056508,0.004625896,0.006394726,0.001706019,0.004432976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342609,"about_ca_system_score_gemma":0.005085696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00618922,"about_ca_topic_score_gemma":0.004750822,"domain_scores_codex":[0.9979172,0.0003576686,0.0001175506,0.0004292798,0.0007635102,0.0004148268],"domain_scores_gemma":[0.9978887,0.0002857029,0.0001035973,0.000672815,0.0006089996,0.0004402249],"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":[0.001439499,0.0005817509,0.0197992,0.0008459692,0.0003293875,0.00187523,0.002366406,0.1621445,0.07260808,0.3198417,0.1994757,0.2186927],"study_design_scores_gemma":[0.0001982861,0.0002968246,0.005338145,0.0001409688,0.0001014772,0.0003285634,0.0007557502,0.6467115,0.03790339,0.06713575,0.2408926,0.0001968028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05403781,0.0007323289,0.7883655,0.002397941,0.0006640212,0.0008351576,0.002550012,0.1057008,0.04471654],"genre_scores_gemma":[0.453267,0.0008540133,0.5108241,0.0008145063,0.0003144036,0.0008576908,0.016219,0.006634041,0.01021515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006838461,"threshold_uncertainty_score":0.02287698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01207341984363326,"score_gpt":0.2736076126365465,"score_spread":0.2615341927929132,"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."}}