{"id":"W4412507335","doi":"10.1016/j.suscom.2025.101166","title":"Does faster mean greener? Runtime and energy trade-offs in iOS applications with compiler optimizations","year":2025,"lang":"en","type":"article","venue":"Sustainable Computing Informatics and Systems","topic":"Green IT and Sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Queen's University","funders":"","keywords":"Computer science; Compiler; Parallel computing; Optimizing compiler; Embedded system; 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":[0.00127595,0.0009995007,0.0003758328,0.0008785404,0.0004235338,0.001107299,0.0006673234,0.000385084,0.0008767227],"category_scores_gemma":[0.008415671,0.0003691891,0.0005709958,0.001146397,0.0006206465,0.001591991,0.0005783414,0.0009744439,0.0003057538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665247,"about_ca_system_score_gemma":0.0009900989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003470363,"about_ca_topic_score_gemma":0.007862437,"domain_scores_codex":[0.998531,0.0003098277,0.0001236063,0.0002904939,0.0004140425,0.0003310686],"domain_scores_gemma":[0.9951382,0.002903078,0.0004409874,0.0007162141,0.0006544926,0.000147133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004538612,0.001333127,0.1375839,0.002264338,0.0005696699,0.0008182246,0.001955646,0.176132,0.3354116,0.007070196,0.01035299,0.3219697],"study_design_scores_gemma":[0.0002722183,0.003455276,0.2026363,0.0003078651,0.000908982,0.0007124961,0.002222793,0.384302,0.3719941,0.007941828,0.02499159,0.0002545065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894791,0.001259299,0.004237397,0.0002320961,0.00007168052,0.00003186563,0.0002531095,0.001360638,0.00307475],"genre_scores_gemma":[0.9833625,0.0003852579,0.01353533,0.0001553654,0.00002212028,0.00004538848,0.0005768841,0.0009799794,0.0009370856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003470363,"threshold_uncertainty_score":0.006900311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003034655018037838,"score_gpt":0.1843689082150246,"score_spread":0.1813342531969868,"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."}}