{"id":"W4385454332","doi":"10.32920/23811204.v1","title":"Integrating Novel Microchannel-Based Solar Collectors with a Water-to-Water Heat Pump for Cold-Climate Domestic Hot Water Supply, Including Related Solar Systems Comparisons","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Solar Thermal and Photovoltaic Systems","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","keywords":"TRNSYS; Photovoltaic thermal hybrid solar collector; Photovoltaic system; Nuclear engineering; Environmental science; Microchannel; Thermal energy storage; Solar water heating; Solar air conditioning; Heat exchanger; Process engineering; Solar energy; Renewable energy; Thermal; Materials science; Environmental engineering; Engineering; Meteorology; Mechanical engineering; Thermodynamics; Electrical engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002195243,0.001729298,0.002570323,0.0009646028,0.001282846,0.0009950631,0.001213822,0.001280882,0.0002606458],"category_scores_gemma":[0.00009912126,0.0009464032,0.0006515468,0.0004147033,0.000178368,0.0001674985,0.001498166,0.001405951,0.0008658806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008220563,"about_ca_system_score_gemma":0.000198415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03009629,"about_ca_topic_score_gemma":0.004529068,"domain_scores_codex":[0.9916186,0.0004463524,0.002217828,0.002107032,0.0007937331,0.002816442],"domain_scores_gemma":[0.9962906,0.0006832205,0.0003208082,0.001431025,0.000659893,0.0006144741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008051677,0.0002379384,0.0009942513,0.002766735,0.00120233,0.00008845641,0.00568797,0.1849664,0.8019866,0.000121944,0.001137331,0.000004957123],"study_design_scores_gemma":[0.003645109,0.000576923,0.00002291775,0.003667072,0.0005102263,0.0001182428,0.001980905,0.1537962,0.815768,0.0000779714,0.01774931,0.002087131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148155,0.0001307844,0.0644309,0.0007462407,0.006602025,0.008973795,0.001406209,0.002349458,0.0005451145],"genre_scores_gemma":[0.9830793,0.000007209929,0.001505909,0.0002582937,0.0004834891,0.004205474,0.003974498,0.000694352,0.005791497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0682638,"threshold_uncertainty_score":0.9999121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04585520263067175,"score_gpt":0.2680290623906047,"score_spread":0.222173859759933,"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."}}