{"id":"W2170038720","doi":"10.5555/2663608.2663630","title":"A methodology for energy performance testing of smartphone applications","year":2012,"lang":"en","type":"article","venue":"Automation of Software Test","topic":"Green IT and Sustainability","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Energy consumption; Process (computing); Embedded system; Battery (electricity); Flow chart; Energy (signal processing); Reliability engineering; Identification (biology); Power (physics); Operating system; 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":[0.0003156841,0.00006870419,0.0001506011,0.00006594428,0.00003285701,0.000001922474,0.00007416998,0.00005471205,0.00001318739],"category_scores_gemma":[0.0007919186,0.00007148601,0.00003293369,0.0002073509,0.00003936928,0.0001301506,0.0000136842,0.0000297304,0.000002269813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000313251,"about_ca_system_score_gemma":0.00001637046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028831,"about_ca_topic_score_gemma":0.000002172948,"domain_scores_codex":[0.9994575,0.00001430858,0.0002580491,0.00005943931,0.00006107454,0.00014964],"domain_scores_gemma":[0.9982379,0.001303573,0.00007919118,0.0001588595,0.0001881723,0.00003229261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000609288,0.0001607547,0.5490819,0.00206265,0.00003691148,3.803139e-8,0.0007237419,0.005194894,0.0108507,0.002021687,0.0005888265,0.4292718],"study_design_scores_gemma":[0.0005432472,0.000176154,0.8193558,0.00005602601,0.0000608523,0.00000789247,0.0001375657,0.08045392,0.08909161,0.003045097,0.006774356,0.0002974673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3227081,0.0001555045,0.6763619,0.00001199351,0.00005576978,0.0001833632,0.00001784047,0.0002986753,0.0002067801],"genre_scores_gemma":[0.78585,0.000002737651,0.2139216,0.000006285307,0.00003479876,0.0001366254,0.00001443112,0.000009867839,0.00002356075],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4631419,"threshold_uncertainty_score":0.2915115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04031257151996493,"score_gpt":0.2602263216726672,"score_spread":0.2199137501527023,"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."}}