{"id":"W2375761019","doi":"","title":"Revelations and Suggestions on Energy Efficiency Management and Power Supply Regulation in USA and Canada","year":2012,"lang":"en","type":"article","venue":"Electric Power","topic":"Smart Grid and Power Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Government (linguistics); Power (physics); Environmental economics; Business; Efficient energy use; State (computer science); Power market; State government; Quality (philosophy); Electricity market; Energy supply; Electricity price; Industrial organization; Energy (signal processing); Economics; Engineering; Electric power system; Public administration; Local government; Political science; Computer science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001039653,0.00009911969,0.00009046157,0.0001509036,0.00005633824,0.00001740122,0.00002592626,0.00004046053,0.00003980298],"category_scores_gemma":[0.00000943924,0.00009784443,0.000006646327,0.000212874,0.000008762643,0.00008568425,0.00001081206,0.00006777688,0.000002653001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007843208,"about_ca_system_score_gemma":0.00001308358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009978139,"about_ca_topic_score_gemma":0.02437052,"domain_scores_codex":[0.9994007,0.00002096975,0.0001296856,0.0001121628,0.0001041667,0.0002323393],"domain_scores_gemma":[0.9997434,0.00005667088,0.00001504604,0.00009470856,0.000009060065,0.00008108985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003008101,0.0001483832,0.7650861,0.0001122514,0.0001247665,0.00002443257,0.002071283,0.002906116,0.001784023,0.07258487,0.1494856,0.005642105],"study_design_scores_gemma":[0.0002250672,0.00002618492,0.92468,0.00002815693,0.000008026182,0.00001995389,0.00002299402,0.001674949,0.0001367054,0.00002795011,0.07299251,0.0001574763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789535,0.002816237,0.001146099,0.0001021165,0.0009087041,0.0001285394,0.000005323949,0.00002685443,0.01591263],"genre_scores_gemma":[0.9987011,0.0001273452,0.00004442767,0.00004623181,0.00006062126,0.00001318104,0.000003990309,0.00001099131,0.0009921063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1595939,"threshold_uncertainty_score":0.9966145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00334761269357432,"score_gpt":0.1704105816094796,"score_spread":0.1670629689159053,"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."}}