{"id":"W3041031172","doi":"","title":"Distributed energy resources in practice: A case study analysis and \\nvalidation of LBNL's customer adoption model","year":2003,"lang":"en","type":"report","venue":"eScholarship (California Digital Library)","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mantra Energy Alternatives (Canada)","funders":"","keywords":"Schedule; Computer science; Electricity; Resource (disambiguation); Work (physics); Operations research; Scale (ratio); Sample (material); Industrial engineering; Engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005997763,0.0005811907,0.0008612394,0.001496218,0.00006006156,0.0006899395,0.0002504977,0.0003752238,0.00004565374],"category_scores_gemma":[0.0003591397,0.000611196,0.0002254056,0.002266021,0.00005376554,0.00283574,0.0002289562,0.0005666075,0.00001650455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002594531,"about_ca_system_score_gemma":0.0001280309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002107901,"about_ca_topic_score_gemma":0.0001115615,"domain_scores_codex":[0.9966659,0.0001848687,0.001147621,0.0006537414,0.0009367774,0.0004111037],"domain_scores_gemma":[0.9984188,0.0001721136,0.0003974581,0.0006734832,0.000139303,0.0001988397],"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":[0.0001296409,0.001192965,0.2138754,0.0006598564,0.004831071,0.003449087,0.000190606,0.7641966,0.0000106468,0.0001862559,0.005706096,0.005571716],"study_design_scores_gemma":[0.003205705,0.000366804,0.01363963,0.000566926,0.009010981,0.0008161042,0.003049581,0.2044097,0.0004080285,0.0004433578,0.7599607,0.004122463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9003316,0.001494672,0.01233315,0.00004708237,0.0003156071,0.0008492501,0.006300787,0.0007046823,0.07762322],"genre_scores_gemma":[0.9942904,0.000552239,0.0005773698,0.00002435395,0.00008353159,0.0001043064,0.003610351,0.0001615789,0.0005959322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7542546,"threshold_uncertainty_score":0.999634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171044030990094,"score_gpt":0.2383040300485293,"score_spread":0.2211996269495199,"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."}}