{"id":"W2035679429","doi":"10.1016/j.apenergy.2008.08.005","title":"Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches","year":2008,"lang":"en","type":"article","venue":"Applied Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Environment Research Council; UK Energy Research Centre; Sight Research UK","keywords":"Stock (firearms); Efficient energy use; Energy sector; Energy system; Greenhouse gas; Energy modeling; Quarter (Canadian coin); German government; Economics; Environmental economics; Natural resource economics; Economy; Renewable energy; Engineering; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001116412,0.0003817141,0.0004044584,0.0001620541,0.0004322228,0.0001349251,0.0002596948,0.0003036559,0.000007205078],"category_scores_gemma":[7.846668e-7,0.0003454694,0.00007496653,0.0002778446,0.0001012777,0.0001478239,0.00007111482,0.0001903421,4.808535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000116471,"about_ca_system_score_gemma":0.00003841212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003150689,"about_ca_topic_score_gemma":0.0002802639,"domain_scores_codex":[0.998216,0.00005457634,0.0004963933,0.0004318337,0.0003536568,0.000447478],"domain_scores_gemma":[0.9992356,0.0000967466,0.0001195398,0.0003919555,0.00003418774,0.000121936],"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":[0.00002052795,0.00001992311,0.0006423846,0.00002152122,0.0001389408,0.000002051701,0.0001834597,0.9461956,0.00007948428,0.05202495,0.00006896303,0.000602196],"study_design_scores_gemma":[0.0003554582,0.00001786874,0.00009435864,0.0000268286,0.00006436181,0.0000130378,0.0000414971,0.9966031,0.001473251,0.0006707358,0.0002306681,0.0004087973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2628849,0.001426816,0.7344594,0.00000870446,0.0002298948,0.00004733865,0.000002761346,0.0002661759,0.0006740437],"genre_scores_gemma":[0.9968611,0.0005926666,0.001298152,0.00003078879,0.0006747774,0.0001061345,0.0002023248,0.0001081591,0.0001258898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7339762,"threshold_uncertainty_score":0.9998997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05982925917925551,"score_gpt":0.2078323718314319,"score_spread":0.1480031126521764,"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."}}