{"id":"W4286380826","doi":"10.26868/25222708.2021.31154","title":"The energy master planning process for districts","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesamt für Energie","keywords":"Demolition; Context (archaeology); Work (physics); Scope (computer science); Stock (firearms); Architectural engineering; Efficient energy use; Energy supply; Energy performance; Civil engineering; Process (computing); Energy (signal processing); Geography; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001560004,0.0005325246,0.0006214926,0.001314512,0.001152771,0.002734192,0.001240797,0.0007351184,0.04138706],"category_scores_gemma":[0.002999927,0.0007506787,0.0008217351,0.001738831,0.0004297954,0.001708241,0.001767927,0.00113039,0.005419169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412305,"about_ca_system_score_gemma":0.004617304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195183,"about_ca_topic_score_gemma":0.01813562,"domain_scores_codex":[0.9992325,0.0002689635,0.00004009354,0.0001348887,0.000170361,0.0001531717],"domain_scores_gemma":[0.9990582,0.0004036835,0.00005929992,0.0001517574,0.0002380717,0.00008893469],"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":[0.0001451202,0.0001130894,0.00204442,0.0001649277,0.00002504549,0.0001648475,0.0009188887,0.776029,0.002261688,0.05759704,0.01511176,0.1454242],"study_design_scores_gemma":[0.00008145966,0.0001316571,0.002539693,0.0001076296,0.00002885676,0.00007730464,0.00251858,0.7654647,0.006121848,0.06193553,0.1609066,0.00008610651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05239656,0.0001946797,0.8310447,0.0009766958,0.00008128997,0.00170428,0.004302612,0.005272737,0.1040265],"genre_scores_gemma":[0.4062473,0.0003406201,0.5508944,0.0001127881,0.00002678941,0.001239674,0.005800453,0.001075036,0.03426296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04138706,"threshold_uncertainty_score":0.1384535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03720454357905584,"score_gpt":0.2734236531024752,"score_spread":0.2362191095234193,"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."}}