{"id":"W3027312765","doi":"10.1016/j.softx.2020.100512","title":"PowTrAn: An R Package for power trace analysis","year":2020,"lang":"en","type":"article","venue":"SoftwareX","topic":"Green IT and Sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Software; Consistency (knowledge bases); TRACE (psycholinguistics); Energy consumption; Efficient energy use; Outlier; Visualization; Energy (signal processing); Embedded system; Mobile device; Real-time computing; Data mining; Artificial intelligence; Operating system","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":[0.003354792,0.003385189,0.002382015,0.002635459,0.0005711975,0.00235683,0.003062047,0.00131761,0.09824353],"category_scores_gemma":[0.02648094,0.001576981,0.002961779,0.002447726,0.0007442052,0.00185804,0.001993505,0.003492926,0.04455812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507124,"about_ca_system_score_gemma":0.003080123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004032727,"about_ca_topic_score_gemma":0.004106211,"domain_scores_codex":[0.9979646,0.0006884733,0.0002301064,0.0004077189,0.0005637459,0.0001453048],"domain_scores_gemma":[0.9858312,0.01100903,0.001005169,0.000875398,0.001124196,0.0001550037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007488143,0.0001252366,0.009424227,0.00973729,0.003235219,0.001166341,0.0005684609,0.03325909,0.00609894,0.01961916,0.7939917,0.1220254],"study_design_scores_gemma":[0.0007151588,0.0003341789,0.00822186,0.001290912,0.001243563,0.001273812,0.0002198824,0.1059925,0.01201332,0.04540029,0.8229415,0.0003530946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.006690815,0.002477843,0.4397575,0.001020323,0.0009645484,0.000795141,0.1519464,0.38927,0.007077342],"genre_scores_gemma":[0.08147285,0.003219099,0.6169338,0.001886803,0.0006293333,0.009585133,0.08642027,0.1827835,0.01706903],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09824353,"threshold_uncertainty_score":0.3286574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314673537102847,"score_gpt":0.2290335853646095,"score_spread":0.215886849993581,"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."}}