{"id":"W4252060731","doi":"10.32920/ryerson.14653167","title":"Liquid based diurnal thermal storage","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Phase Change Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRNSYS; Thermal energy storage; Energy storage; Thermal mass; Nuclear engineering; Thermal energy; Thermal; Environmental science; Mass flow rate; Phase-change material; Storage tank; Energy balance; Solar energy; Process engineering; Volumetric flow rate; Process (computing); Mechanical engineering; Mechanics; Engineering; Meteorology; Thermodynamics; Electrical engineering; Computer science; Power (physics)","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":[0.0002546371,0.0002662044,0.0005591239,0.0003722441,0.000357691,0.001031342,0.0005752043,0.0002960652,0.004697242],"category_scores_gemma":[0.0003516461,0.0001438018,0.0004188923,0.0008935418,0.0002422677,0.001379368,0.0005321737,0.0002813382,0.001045193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783612,"about_ca_system_score_gemma":0.0003956789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009396565,"about_ca_topic_score_gemma":0.001352714,"domain_scores_codex":[0.9998015,0.00003417872,0.00001290518,0.00003394536,0.00009085592,0.00002677821],"domain_scores_gemma":[0.9998817,0.00003378537,0.00001181197,0.00001572942,0.00004999873,0.00000696152],"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":[0.001218227,0.000231237,0.003404507,0.004782216,0.0001404331,0.0007060885,0.000349852,0.05638558,0.5459809,0.01728059,0.006980144,0.3625403],"study_design_scores_gemma":[0.00005493663,0.001484705,0.003365657,0.0002762057,0.0001918627,0.0008336809,0.0004364415,0.1276976,0.7621177,0.003503687,0.09993941,0.00009816048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7353453,0.04609191,0.1575797,0.0008482077,0.0007469063,0.0002297735,0.002255096,0.001768196,0.05513488],"genre_scores_gemma":[0.9768474,0.005380323,0.008844584,0.00006655791,0.00004297539,0.00004359932,0.0004669738,0.00008403941,0.008223584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004697242,"threshold_uncertainty_score":0.01571381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486526940728917,"score_gpt":0.2817014132524361,"score_spread":0.2368361438451469,"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."}}