{"id":"W2401668016","doi":"10.1109/saner.2016.64","title":"Optimizing User Experience in Choosing Android Applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Frugality; Computer science; Android (operating system); Set (abstract data type); Power consumption; Energy consumption; Power (physics); 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":[0.002060209,0.0006735682,0.0006705994,0.0007001541,0.0003788975,0.001512775,0.0004468545,0.0005331628,0.002589794],"category_scores_gemma":[0.01191429,0.0002696868,0.0003524477,0.0004024321,0.0001943137,0.001065721,0.0006684032,0.0003232564,0.001056767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002511006,"about_ca_system_score_gemma":0.0002350067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001252213,"about_ca_topic_score_gemma":0.003126478,"domain_scores_codex":[0.998264,0.0007897681,0.000136768,0.0002226715,0.0004817192,0.0001051442],"domain_scores_gemma":[0.9940851,0.003895267,0.0003056809,0.0005180687,0.0009516608,0.0002441784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003132987,0.001399631,0.1812626,0.0009100753,0.0002107958,0.001084169,0.003982936,0.01708417,0.07431111,0.001259219,0.006934719,0.7084276],"study_design_scores_gemma":[0.0004760132,0.0069681,0.4387626,0.0003261369,0.0007633993,0.003234782,0.008547528,0.4106931,0.08735225,0.005443309,0.03678115,0.000651617],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952236,0.0005381428,0.03849066,0.0002237354,0.00002179393,0.000167498,0.0001581905,0.001366504,0.006797487],"genre_scores_gemma":[0.9631615,0.0002123388,0.03350685,0.00007318427,0.00001167175,0.0000697289,0.0002262127,0.0001156911,0.002622746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002589794,"threshold_uncertainty_score":0.01089555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082575086091811,"score_gpt":0.2364533514853009,"score_spread":0.2256276006243828,"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."}}