{"id":"W2246917403","doi":"","title":"Hybrid Software Boosts High Performance Computing Productivity","year":2008,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Productivity; Software; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001328791,0.0005522642,0.0005780379,0.000197223,0.002767397,0.0007929292,0.006584806,0.00009018903,0.00001565753],"category_scores_gemma":[0.0001154425,0.0004193004,0.0001290971,0.001596862,0.0004016375,0.0002093765,0.007063609,0.0004595314,0.0002140202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368062,"about_ca_system_score_gemma":0.0001459753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000553197,"about_ca_topic_score_gemma":0.000009034768,"domain_scores_codex":[0.9956319,0.0003604958,0.0006069205,0.001375439,0.0009925939,0.001032638],"domain_scores_gemma":[0.9960706,0.0003135694,0.0004616571,0.002639076,0.0003243749,0.0001907762],"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":[0.0001040705,0.0005551315,0.01128736,0.0002003443,0.0001492796,0.0002342531,0.00438674,0.356051,0.00008181969,0.0005479761,0.02266662,0.6037354],"study_design_scores_gemma":[0.00141123,0.0001165997,0.1609383,0.0002593918,0.00003851919,0.001267348,0.0001143326,0.2443365,0.0003896697,0.0001590877,0.5897042,0.001264839],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744571,0.0001874516,0.2186502,0.002109338,0.0003824425,0.0007842561,0.000001671983,0.000817093,0.002610417],"genre_scores_gemma":[0.9809563,0.000007175013,0.00637409,0.001282209,0.0006907966,0.00003102931,0.000008280533,0.00007706159,0.01057306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6024706,"threshold_uncertainty_score":0.9998259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789591851660887,"score_gpt":0.2192499905808508,"score_spread":0.2013540720642419,"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."}}