{"id":"W2765450015","doi":"10.1016/j.apenergy.2017.09.039","title":"Assessing active and passive effects of façade building integrated photovoltaics/thermal systems: Dynamic modelling and simulation","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaic system; Photovoltaics; Thermal; Parametric statistics; Transient (computer programming); Building energy simulation; Dynamic simulation; Thermal comfort; Thermal mass; Thermal energy storage; Engineering; Renewable energy; Environmental science; Efficient energy use; Automotive engineering; Simulation; Computer science; Energy performance; Meteorology; 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":[0.0004029983,0.0006988135,0.0007427273,0.0003979668,0.0003865989,0.0008674242,0.0006453146,0.001260865,0.001935451],"category_scores_gemma":[0.0008641165,0.0004724285,0.0008985753,0.0004622254,0.0003963902,0.0007954585,0.000436925,0.000437384,0.0002546121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009553595,"about_ca_system_score_gemma":0.0005909973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01882809,"about_ca_topic_score_gemma":0.01703651,"domain_scores_codex":[0.9998128,0.00005182895,0.000007186831,0.00002839521,0.00005895604,0.00004085791],"domain_scores_gemma":[0.9994598,0.0003945151,0.00003019366,0.00003058721,0.00006468122,0.00002025296],"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":[0.00007134082,0.00004809218,0.0008336027,0.00002547197,0.00001103284,0.00001954235,0.00001522307,0.9918628,0.003767777,0.0001834601,0.00004252409,0.003119057],"study_design_scores_gemma":[0.000008953845,0.0000790598,0.00110436,0.000002158609,0.00001302688,0.00000751742,0.00001580689,0.9961041,0.002475374,0.00009341044,0.00009083583,0.000005329632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9685763,0.000162537,0.02318526,0.00006047418,0.00001303992,0.00004803798,0.0001821846,0.0001503258,0.007621879],"genre_scores_gemma":[0.9971583,0.00004717052,0.001596722,0.000005699204,0.000001860254,0.00001461136,0.00004278209,0.00001299248,0.001119896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01882809,"threshold_uncertainty_score":0.03743702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007676252219129185,"score_gpt":0.222344866308907,"score_spread":0.2146686140897778,"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."}}