{"id":"W4241063860","doi":"10.1016/j.procs.2015.05.113","title":"The 5th International Conference on Sustainable Energy Information Technology (SEIT) Preface","year":2015,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Energy (signal processing); Sustainable energy; Data science; Electrical engineering; Renewable energy","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":[0.0003273559,0.00009691017,0.00005708812,0.0002496914,0.0001414655,0.000313232,0.0009520464,0.00003024678,0.000002282804],"category_scores_gemma":[0.00006062188,0.00007478174,0.0000104174,0.0006380767,0.0001712024,0.0008750723,0.0003471592,0.00008335325,0.00004267634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118362,"about_ca_system_score_gemma":0.0001227771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008270578,"about_ca_topic_score_gemma":0.000003742882,"domain_scores_codex":[0.9989945,0.000003885837,0.0001406368,0.0001418643,0.0004016102,0.0003174663],"domain_scores_gemma":[0.9992968,0.00001489539,0.0000333912,0.0002418994,0.0003379948,0.00007499557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005504548,0.00001001362,0.0001175172,0.00001133168,0.000009726702,0.000002504512,0.0003809986,0.2954613,0.0000371265,0.6520166,0.01010215,0.04184521],"study_design_scores_gemma":[0.0001346632,0.00004523519,0.0001651165,0.000008007332,0.000001146816,0.000004781356,0.000183454,0.8369985,0.001595875,0.004949575,0.1558113,0.000102444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01205503,0.00006018774,0.915105,0.002894138,0.003828713,0.0001892283,8.458845e-7,0.0008394445,0.06502742],"genre_scores_gemma":[0.9949192,0.00003825152,0.004372179,0.0001927946,0.0001399695,0.00005350363,0.000002196086,0.000006112577,0.0002757392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9828642,"threshold_uncertainty_score":0.3049511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116424551835335,"score_gpt":0.2147116438690617,"score_spread":0.2030691886855282,"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."}}