{"id":"W2201411720","doi":"10.7939/r3-29xa-a680","title":"On Improving Green Mining For Energy-Aware Software Analysis","year":2014,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Green IT and Sustainability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Energy consumption; Software; Process (computing); Cloud computing; Package development process; Efficient energy use; Software sizing; Software development; Green computing; Software construction; Software system; Software metric; Software engineering; Embedded system; Operating system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003633296,0.001265828,0.001296823,0.002810784,0.001014147,0.001897968,0.001795638,0.001195746,0.001651456],"category_scores_gemma":[0.02583745,0.0006384182,0.001224724,0.002924778,0.001064294,0.004408035,0.001537004,0.001500653,0.0009520407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216507,"about_ca_system_score_gemma":0.00222225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008894441,"about_ca_topic_score_gemma":0.0164691,"domain_scores_codex":[0.9973896,0.0008284676,0.0001748658,0.0004104751,0.001014639,0.0001819232],"domain_scores_gemma":[0.985931,0.009911707,0.0007770516,0.001632845,0.001615406,0.0001320787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000277258,0.0003515342,0.01054889,0.0003193022,0.0001173468,0.0001432453,0.0003422308,0.3945373,0.0115464,0.01794928,0.003637007,0.5602303],"study_design_scores_gemma":[0.00001842928,0.00004822607,0.0006775457,0.00003338914,0.00001668417,0.00005902547,0.00007055342,0.9758776,0.003782187,0.01772424,0.001681637,0.00001045963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0348843,0.0009297405,0.9593275,0.0008804693,0.00004024122,0.00009957793,0.0001272583,0.001905811,0.001805006],"genre_scores_gemma":[0.2144546,0.0006071695,0.7823715,0.0003177682,0.00004037855,0.0001056104,0.0004343242,0.0002806847,0.001388012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008894441,"threshold_uncertainty_score":0.01921493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003097623932795762,"score_gpt":0.143586867603209,"score_spread":0.1404892436704133,"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."}}