{"id":"W7101100400","doi":"","title":"Reference","year":2005,"lang":"en","type":"article","venue":"","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Power (physics); Capital expenditure; Capital (architecture); Capital equipment","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":[0.00001838259,0.0000247947,0.00002390761,0.00001823933,0.000005451859,0.000005722256,0.00003075644,0.00001623094,0.000206285],"category_scores_gemma":[0.000002080372,0.00002303519,0.000003986536,0.00006026568,0.000001055837,0.00005607612,0.000001940568,0.00002188467,0.0004116126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241395,"about_ca_system_score_gemma":0.000001739079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001287282,"about_ca_topic_score_gemma":0.000007258946,"domain_scores_codex":[0.9998357,0.000001788437,0.00004530014,0.00002812752,0.00003050871,0.00005852908],"domain_scores_gemma":[0.9999158,0.000004111919,0.000002222042,0.00005762298,0.000006420947,0.00001386739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000142847,0.00001599027,0.000459578,0.00003030998,0.00002559791,0.000001338514,0.0001946263,0.7158908,0.007246971,0.02440991,0.120013,0.1317105],"study_design_scores_gemma":[0.0001042382,0.000007321011,0.0003519972,0.000004353611,0.000002005076,0.0000057835,0.000004326679,0.7976088,0.01348048,0.00002911053,0.188282,0.0001196609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004995804,0.0001518228,0.2165591,0.00004895263,0.00006116872,0.00003216877,1.95579e-7,0.0006067372,0.777544],"genre_scores_gemma":[0.9908382,0.00001460032,0.006975546,0.00002512059,0.000030051,0.00000236761,0.000001057257,0.000005499473,0.002107579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9858423,"threshold_uncertainty_score":0.5290584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006633364742468803,"score_gpt":0.1833911845460288,"score_spread":0.17675781980356,"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."}}