{"id":"W2560324125","doi":"10.1109/mascots.2016.49","title":"Experimental Calibration and Validation of a Speed Scaling Simulator","year":2016,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Speedup; Scaling; Context (archaeology); Energy consumption; Simulation; Real-time computing; Parallel computing","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":[0.001519139,0.00087514,0.0004649134,0.0007674737,0.0004991926,0.0007615308,0.002101265,0.0007631083,0.003343754],"category_scores_gemma":[0.007261344,0.0003867165,0.0002985943,0.0009547021,0.0005561199,0.001143508,0.0005538278,0.001179449,0.0007043721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009904946,"about_ca_system_score_gemma":0.000874209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680971,"about_ca_topic_score_gemma":0.001061418,"domain_scores_codex":[0.9985815,0.0002908207,0.0001307942,0.0002189054,0.0006031308,0.0001747701],"domain_scores_gemma":[0.99578,0.00167034,0.0002676357,0.001003597,0.001123592,0.0001548605],"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":[0.001015506,0.001721701,0.01495944,0.000777127,0.0001360965,0.0003180895,0.0003766342,0.7108576,0.1780917,0.01088162,0.008541491,0.0723229],"study_design_scores_gemma":[0.00009685733,0.001005512,0.002634239,0.00003117546,0.00003095649,0.00008445678,0.00007693619,0.8670288,0.122183,0.001203732,0.005585149,0.00003924052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7530287,0.0003562023,0.2265231,0.0005689858,0.0003684088,0.000833531,0.001989199,0.006520065,0.009811786],"genre_scores_gemma":[0.9582482,0.0001197656,0.03947134,0.00008615144,0.00001707733,0.0003292079,0.0005860975,0.000239737,0.0009025684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003343754,"threshold_uncertainty_score":0.011186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952134201757961,"score_gpt":0.2739885478817611,"score_spread":0.2544672058641815,"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."}}