{"id":"W2403863631","doi":"10.1145/2901739.2901763","title":"GreenOracle","year":2016,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Energy consumption; Computer science; Software; Embedded system; Consumption (sociology); Instrumentation (computer programming); Energy (signal processing); Software engineering; Operating system; Engineering; Electrical engineering","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":[0.001038738,0.0009273916,0.0007676065,0.001830248,0.001823414,0.00393626,0.002158921,0.002063409,0.2490792],"category_scores_gemma":[0.002860661,0.0005543129,0.0009655272,0.001747634,0.0006802995,0.004453734,0.003450783,0.002386494,0.1567439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105223,"about_ca_system_score_gemma":0.001520362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962891,"about_ca_topic_score_gemma":0.008002764,"domain_scores_codex":[0.9990416,0.00006822663,0.00002575208,0.0002412483,0.00048082,0.0001423414],"domain_scores_gemma":[0.9982339,0.0002602187,0.00006481844,0.000584505,0.0006497046,0.0002067994],"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":[0.0001860626,0.00009098722,0.0008193794,0.0003401522,0.00002078501,0.0001481426,0.0001727369,0.0005198269,0.003519001,0.01611412,0.7618424,0.2162265],"study_design_scores_gemma":[0.00001784307,0.00001451821,0.0004365773,0.00003814904,0.000006541662,0.00009524732,0.00003264172,0.0009499957,0.002054778,0.002896682,0.9934408,0.00001635764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006090371,0.00155866,0.05058558,0.003455531,0.002113634,0.0003142638,0.01528473,0.1505369,0.7700604],"genre_scores_gemma":[0.05722997,0.002334844,0.08725524,0.004908137,0.0007912096,0.0005494098,0.05354332,0.05699668,0.7363912],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2490792,"threshold_uncertainty_score":0.8332528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003156344801724889,"score_gpt":0.1567500805610166,"score_spread":0.1535937357592917,"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."}}