{"id":"W2067086181","doi":"10.1080/10485230709509729","title":"More Than 10 Ways To Sweeten A Retail Power Contract","year":2007,"lang":"en","type":"article","venue":"Strategic Planning for Energy and the Environment","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Procurement; Marketing; Purchasing; Leverage (statistics); Computer science","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":[0.0004190547,0.0002075319,0.0001856384,0.00005705026,0.0001207832,0.00003656177,0.0001555399,0.00007143306,0.00008386855],"category_scores_gemma":[0.000005006943,0.0001525094,0.00006467396,0.00004893964,0.00007730309,0.00004789397,0.00004782526,0.00007485138,0.00001073559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005622243,"about_ca_system_score_gemma":0.000003348133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002756935,"about_ca_topic_score_gemma":0.00001180491,"domain_scores_codex":[0.9990172,0.000009592833,0.0002078885,0.0002151977,0.0001583621,0.0003917084],"domain_scores_gemma":[0.9994829,0.0001195018,0.00003042203,0.0002461918,0.000003694451,0.0001172882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003343484,0.0000266716,0.0001095071,0.00001813568,0.0003239106,0.00003737077,0.000790116,0.8111547,0.00106333,0.1836463,0.001149756,0.001345806],"study_design_scores_gemma":[0.007698538,0.0006947595,0.01447728,0.0001531422,0.0003272464,0.00004096935,0.003032471,0.102242,0.008508043,0.02097218,0.8400787,0.001774691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6320918,0.001983277,0.235119,0.0006405258,0.0008162894,0.0005564765,0.00002548382,0.000350331,0.1284167],"genre_scores_gemma":[0.9978489,0.00004842471,0.0006511537,0.0002051611,0.0001124987,0.00007619608,0.00002382556,0.00003411364,0.0009997451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8389289,"threshold_uncertainty_score":0.6219151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690467085464529,"score_gpt":0.2023310414776486,"score_spread":0.1854263706230033,"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."}}