{"id":"W2025886115","doi":"10.1016/j.enbuild.2010.08.013","title":"Renewable energy options for buildings: Case studies","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Heat pump; Electricity; Photovoltaic system; Renewable heat; Environmental economics; Zero-energy building; Efficient energy use; Environmental science; Process engineering; Architectural engineering; Civil engineering; Engineering; Mechanical engineering; Hybrid heat; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009923517,0.001005588,0.0007430366,0.001282976,0.001227959,0.001727032,0.001423216,0.00236256,0.005280417],"category_scores_gemma":[0.002541996,0.0004359652,0.00124688,0.0033867,0.0008183955,0.001187928,0.0009132926,0.000967833,0.0003826888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258498,"about_ca_system_score_gemma":0.0004176501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01133581,"about_ca_topic_score_gemma":0.04136673,"domain_scores_codex":[0.9992349,0.0004333504,0.00002171007,0.00003743044,0.0001348325,0.0001377887],"domain_scores_gemma":[0.9978172,0.001776869,0.00008079196,0.0001069489,0.0001122931,0.0001059938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00158499,0.00305564,0.0160925,0.001231518,0.0003080294,0.009930581,0.001160407,0.8336622,0.003265349,0.05525427,0.008347137,0.06610744],"study_design_scores_gemma":[0.001424287,0.00297987,0.03223728,0.0004666441,0.0007976041,0.005824927,0.01358718,0.8183688,0.0159368,0.05248707,0.05560381,0.0002857752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935769,0.00174993,0.007236104,0.0004084949,0.00002964103,0.0001595246,0.000666629,0.00005831843,0.05392239],"genre_scores_gemma":[0.9886008,0.001176925,0.004702227,0.00002153253,0.00001357522,0.00006673111,0.0002262329,0.00002191219,0.005170118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01133581,"threshold_uncertainty_score":0.02253968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009932469743441476,"score_gpt":0.2279978680291578,"score_spread":0.2180653982857163,"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."}}