{"id":"W4239491884","doi":"10.32920/ryerson.14653845","title":"Solar Community Energy and Storage Systems for Cold Climates","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"TRNSYS; Thermal energy storage; Chiller; Solar air conditioning; Environmental science; Nuclear engineering; Heat pump; Photovoltaic thermal hybrid solar collector; Solar energy; Absorption refrigerator; Boiler (water heating); Passive solar building design; Thermal energy; Thermal; Waste management; Meteorology; Engineering; Mechanical engineering; Thermodynamics; Electrical engineering; Physics; Heat exchanger","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002223332,0.0004890721,0.0003399307,0.0002683191,0.00109174,0.0008070017,0.0009027025,0.0004742463,0.00769077],"category_scores_gemma":[0.0003421062,0.0002134683,0.0005819194,0.0005646537,0.0003398152,0.0006554111,0.0004112371,0.0002938602,0.0004737348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006441904,"about_ca_system_score_gemma":0.004001775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5168703,"about_ca_topic_score_gemma":0.6764132,"domain_scores_codex":[0.9998764,0.00002326693,0.000003287767,0.00001963372,0.00002961514,0.00004774937],"domain_scores_gemma":[0.99983,0.00002220889,0.00001327035,0.0000144777,0.00008653672,0.00003352698],"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":[0.0003420843,0.00007430349,0.008701648,0.0001114306,0.00003756136,0.0004632452,0.0001444545,0.9670823,0.005673215,0.004243792,0.003028704,0.01009729],"study_design_scores_gemma":[0.0001620288,0.0002325608,0.009573432,0.00001962853,0.00005438674,0.0001072371,0.0005309278,0.9753337,0.003501244,0.001453128,0.009001107,0.00003061361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394829,0.0003623872,0.01960036,0.00040241,0.00005041163,0.0001919766,0.002090546,0.0005420733,0.03727695],"genre_scores_gemma":[0.9929563,0.0000834351,0.001504651,0.000009864129,0.000002931557,0.00002696287,0.0003805383,0.00001380606,0.005021474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5168703,"threshold_uncertainty_score":0.9719499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002347115985307,"score_gpt":0.2500400799160236,"score_spread":0.2200166087561705,"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."}}