{"id":"W2040412318","doi":"10.1109/issst.2011.5936911","title":"Electrical cost savings and clean energy usage potential for HPC workloads","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electricity; Renewable energy; Grid; Computer science; Adaptation (eye); Wind power; Environmental science; Electricity generation; Environmental economics; Power (physics); Electrical engineering; Engineering","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":[0.00008714914,0.0001185609,0.0001257277,0.0001011208,0.0001030562,0.00008404508,0.0008033062,0.0000865171,0.00001517718],"category_scores_gemma":[0.00007775906,0.0001020821,0.00003245368,0.0002544128,0.00009429645,0.0007306169,0.000526013,0.00008507579,0.000008140459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002677945,"about_ca_system_score_gemma":0.00001343652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000408158,"about_ca_topic_score_gemma":0.00002392072,"domain_scores_codex":[0.9990103,0.00001165546,0.0001371334,0.0004017944,0.0001094847,0.0003296337],"domain_scores_gemma":[0.999303,0.00005984602,0.00005053973,0.0004839886,0.0000365139,0.00006604559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009113824,0.00002848026,0.00006226722,0.000001693184,0.000005848737,0.00001421566,0.00004471523,0.000001505517,0.0009032345,0.2658066,0.002410492,0.7307118],"study_design_scores_gemma":[0.002584508,0.001429927,0.007147599,0.00003458108,0.00004375066,0.0002939693,0.0002297006,0.1537459,0.276151,0.4635563,0.09297538,0.001807463],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002826539,0.00007922455,0.9945624,0.0001606505,0.00009918092,0.0001163226,0.000002502745,0.0006171936,0.001535952],"genre_scores_gemma":[0.5763206,0.00004377935,0.4228959,0.0002986487,0.00002231443,0.00003075547,0.000002021738,0.000007994884,0.0003779591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7289043,"threshold_uncertainty_score":0.4162789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218901532103326,"score_gpt":0.2356779756208332,"score_spread":0.2137878224105006,"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."}}