{"id":"W4396662162","doi":"10.1051/epjconf/202429504031","title":"Managing remote cloud resources for multiple HEP VOs with cloudscheduler","year":2024,"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":"","keywords":"Cloud computing; Computer science; Meteorology; Remote sensing; Geography; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00257853,0.00077836,0.0006510209,0.0008296975,0.001518121,0.002046671,0.002270937,0.0005457685,0.007769111],"category_scores_gemma":[0.003692028,0.0006060783,0.0006465769,0.0008898125,0.0008520306,0.002985571,0.004053643,0.001984615,0.001913547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592571,"about_ca_system_score_gemma":0.002208891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255956,"about_ca_topic_score_gemma":0.005038998,"domain_scores_codex":[0.9983152,0.0003563387,0.0001077674,0.0004204003,0.0003806658,0.0004195634],"domain_scores_gemma":[0.9967802,0.0004852132,0.0001239694,0.001558651,0.0004498023,0.0006022177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00853575,0.001895068,0.09086612,0.0007753226,0.0008850168,0.002799975,0.003297725,0.1285962,0.1262462,0.04459266,0.1516813,0.4398287],"study_design_scores_gemma":[0.0009483443,0.001030294,0.03107551,0.0001598653,0.0002584741,0.0005914551,0.001168364,0.6182337,0.1541051,0.02178773,0.170146,0.0004950874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5476103,0.00132421,0.2430853,0.0012989,0.00128426,0.0008768876,0.00245135,0.1526424,0.04942641],"genre_scores_gemma":[0.8733511,0.0001708603,0.1087968,0.0005270334,0.0001467955,0.0002591172,0.003957732,0.005215236,0.007575213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007769111,"threshold_uncertainty_score":0.02599025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212209941642491,"score_gpt":0.2525194840895589,"score_spread":0.230397384673134,"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."}}