{"id":"W4282833954","doi":"10.1109/icse-nier55298.2022.9793522","title":"Black Box Technique to Reduce Energy Consumption of Android Apps","year":2022,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Byte; Computer science; Android (operating system); Energy consumption; Operating system; Code (set theory); Embedded system; Programming language; 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":[0.0001356346,0.00005772962,0.00008967087,0.00006645591,0.00002871798,0.000003612203,0.00008722587,0.0000228426,0.0006854745],"category_scores_gemma":[0.000009446437,0.00006225462,0.00002875919,0.0001391001,0.00001845111,0.00003451308,0.00006164275,0.00006464714,0.000004078146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009500128,"about_ca_system_score_gemma":0.00001230364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007791007,"about_ca_topic_score_gemma":0.00001586289,"domain_scores_codex":[0.9995554,0.00002048797,0.0001255796,0.00009153398,0.00009385103,0.0001131663],"domain_scores_gemma":[0.9997342,0.00001431097,0.000009045569,0.000178469,0.00002507265,0.00003896209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001772345,0.0003213366,0.01030416,0.0009045213,0.0001057934,0.00003297158,0.002575228,0.1744906,0.6230257,0.05571024,0.07949885,0.05285336],"study_design_scores_gemma":[0.000605817,0.0003546112,0.006533617,0.00001617267,0.00002202565,0.00003160422,0.00204558,0.01848956,0.8086614,0.00674327,0.1558299,0.0006664374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794987,0.00007681915,0.1003388,0.0001294732,0.0001076099,0.000304706,0.00001153345,0.0003432243,0.01918918],"genre_scores_gemma":[0.9980015,0.000006112604,0.0009588057,0.00002846336,0.0000102446,0.00009692316,0.000004369627,0.00001011327,0.0008834604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1856357,"threshold_uncertainty_score":0.7505465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845837334233426,"score_gpt":0.2196836889561324,"score_spread":0.2108378516218989,"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."}}