{"id":"W2766748441","doi":"10.1145/3149412.3149415","title":"Execution Phase Prediction Based on Phase Precursors and Locality","year":2017,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Locality; Computer science; Workload; Phase (matter); Overhead (engineering); Power (physics); Locality of reference; Real-time computing; Parallel computing; Operating system","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":[0.0006013511,0.0007928869,0.0006124306,0.002277917,0.0004805058,0.0006635149,0.0006380514,0.0003285774,0.001334243],"category_scores_gemma":[0.004877824,0.0003232774,0.0003577261,0.001108726,0.0003601759,0.001142804,0.0005152173,0.0005908287,0.0004977021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537381,"about_ca_system_score_gemma":0.0009422114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002663673,"about_ca_topic_score_gemma":0.003763191,"domain_scores_codex":[0.9994831,0.00009271657,0.00004224577,0.0001322739,0.0001848097,0.00006476396],"domain_scores_gemma":[0.9948804,0.002495087,0.001249041,0.0004095942,0.0007749639,0.0001908745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001961886,0.0003468944,0.09465773,0.0006824097,0.0001574388,0.0003704644,0.0005877334,0.1817978,0.07294775,0.005125679,0.002775985,0.6385883],"study_design_scores_gemma":[0.00003890598,0.0003015988,0.01677765,0.00005318,0.00007065161,0.0004171036,0.0001373674,0.929141,0.04677051,0.003443776,0.002782591,0.00006565663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2306378,0.0009370915,0.7609642,0.0001618959,0.00007075156,0.0002078994,0.0003781607,0.003778215,0.00286388],"genre_scores_gemma":[0.88031,0.000289185,0.1177676,0.00003380207,0.00005313889,0.00008934251,0.0003601661,0.0001422034,0.0009545631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002663673,"threshold_uncertainty_score":0.00529635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02796785373942695,"score_gpt":0.3297933651926018,"score_spread":0.3018255114531748,"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."}}