{"id":"W2970329841","doi":"10.1016/j.solener.2019.08.034","title":"Design and simulated performance of a solar-thermal system employing seasonal storage for providing the majority of space heating and domestic hot water heating needs to a single-family house in a cold climate","year":2019,"lang":"en","type":"article","venue":"Solar Energy","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Nordion (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Environmental science; Thermal energy storage; Meteorology; Passive solar building design; Volume (thermodynamics); Solar energy; Thermal; Atmospheric sciences; Engineering; Electrical engineering; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003023124,0.0006204755,0.0006421917,0.0002970913,0.0007681948,0.0007533944,0.000600857,0.0008097189,0.004895384],"category_scores_gemma":[0.000388394,0.0004029864,0.0006874432,0.0002703469,0.0005446089,0.0003449749,0.0002540835,0.0003898868,0.0003794744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009504061,"about_ca_system_score_gemma":0.0008949135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160791,"about_ca_topic_score_gemma":0.01146519,"domain_scores_codex":[0.9998438,0.00005003756,0.000004999213,0.00002952518,0.00003146322,0.00004011042],"domain_scores_gemma":[0.9997333,0.0001176487,0.00003220781,0.0000151514,0.00006769941,0.0000340862],"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":[0.0002699019,0.00007034382,0.000932495,0.000079449,0.0000353478,0.00009262565,0.00004311624,0.98737,0.007970978,0.0003253149,0.0003671662,0.002443384],"study_design_scores_gemma":[0.0000934675,0.0004404458,0.001371499,0.000005674323,0.00004494377,0.00001946816,0.00006843845,0.9927074,0.004685174,0.0001593819,0.000391984,0.00001201999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561961,0.0001282624,0.02138431,0.0001732683,0.00004979287,0.0001194529,0.0004223596,0.0004325851,0.02109382],"genre_scores_gemma":[0.9957859,0.00001966376,0.002333439,0.00001315443,0.000002548591,0.0000389733,0.00006746992,0.00001956205,0.001719282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01160791,"threshold_uncertainty_score":0.02308071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009595405935947904,"score_gpt":0.1890489592575568,"score_spread":0.1794535533216089,"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."}}