{"id":"W2082013600","doi":"10.1145/2597073.2597130","title":"A green miner's dataset: mining the impact of software change on energy consumption","year":2014,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Energy consumption; Software; Green computing; Work (physics); Data mining; Power consumption; Data science; Power (physics); Engineering; Cloud computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001438187,0.00009761798,0.0001122432,0.00004163743,0.00002765141,0.000008408796,0.0001159247,0.00004253991,0.0001857569],"category_scores_gemma":[0.00004044264,0.00005941517,0.00005246303,0.00006111401,0.00003275411,0.00005634398,0.00002446092,0.00004511373,0.000008275467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004048858,"about_ca_system_score_gemma":0.000005457658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309573,"about_ca_topic_score_gemma":0.0003717783,"domain_scores_codex":[0.9995326,0.00002981902,0.0001122275,0.00008997841,0.00008268251,0.0001526962],"domain_scores_gemma":[0.9994812,0.0001209711,0.00001905444,0.0003188431,0.00002089924,0.00003905518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001237703,0.0001694644,0.282628,0.0005574955,0.000316384,0.000008033078,0.002795214,0.01452995,0.000863936,0.002247975,0.0912558,0.6045039],"study_design_scores_gemma":[0.001349862,0.0007582257,0.634908,0.00008943833,0.00006935404,0.00001307975,0.0003949714,0.3265366,0.001620404,0.0009440019,0.03255175,0.0007643931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933035,0.00008847422,0.004772629,0.00007598912,0.00007224146,0.0001198842,0.0001991318,0.0001390987,0.001229034],"genre_scores_gemma":[0.9995225,0.000005552542,0.0001237322,0.00004806833,0.00006977384,0.00001516413,0.0001473978,0.00001166787,0.00005612294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6037396,"threshold_uncertainty_score":0.3491398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816943552661459,"score_gpt":0.2587037179641592,"score_spread":0.2305342824375446,"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."}}