{"id":"W4412030658","doi":"10.1109/icphm65385.2025.11062033","title":"Machine Learning-Assisted Power Modeling and Simulation of Quantum Cloud Data Centers","year":2025,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Data modeling; Power (physics); Database; Operating system; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003222795,0.0004248949,0.000535862,0.0002946314,0.0004734642,0.0005672619,0.000945038,0.0007040238,0.001706642],"category_scores_gemma":[0.001257487,0.0002685466,0.0005352525,0.0003575737,0.0005988711,0.0007040047,0.0004229266,0.0008494067,0.0002047494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009814831,"about_ca_system_score_gemma":0.001035332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01491111,"about_ca_topic_score_gemma":0.007541867,"domain_scores_codex":[0.9998044,0.00005514024,0.000007573707,0.00003452306,0.00005652629,0.0000418434],"domain_scores_gemma":[0.9994774,0.0003076702,0.00005147214,0.00003980524,0.00009605079,0.00002758612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009317176,0.000008644461,0.0003907034,0.000006904899,0.000003420472,0.00001211794,0.00000873613,0.9973994,0.0002608183,0.0008889316,0.00007803169,0.0009330487],"study_design_scores_gemma":[6.963592e-7,0.000001665638,0.00002833453,4.24825e-7,3.955072e-7,7.97564e-7,0.000001045513,0.9996935,0.00008660581,0.0001522823,0.00003384146,5.288107e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4668545,0.0005743639,0.5078158,0.001023797,0.00009524087,0.0001350425,0.0005911309,0.001047638,0.02186252],"genre_scores_gemma":[0.9845985,0.000112719,0.0131401,0.00005917167,0.00001468004,0.00006473431,0.0001246545,0.00005356314,0.00183194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01491111,"threshold_uncertainty_score":0.02964866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973473686044574,"score_gpt":0.2767778242978149,"score_spread":0.2470430874373692,"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."}}