{"id":"W3193332491","doi":"10.32920/ryerson.14653167.v1","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; Materials science; Mechanical engineering; Mechanics; Engineering; Meteorology; Thermodynamics; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002263767,0.0002519481,0.0003020653,0.0001316039,0.00002682989,0.0002342036,0.0003691366,0.0002592955,0.009106982],"category_scores_gemma":[0.00002653394,0.0002432208,0.0001176709,0.000071977,0.00002339603,0.00005384354,0.0004723964,0.0005942086,0.00009678021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001648643,"about_ca_system_score_gemma":0.0001189043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004032743,"about_ca_topic_score_gemma":0.00002003347,"domain_scores_codex":[0.998757,0.00007501968,0.0002111919,0.0002622325,0.0003302183,0.0003643603],"domain_scores_gemma":[0.9991952,0.00003868529,0.00001990117,0.0005405656,0.00006858419,0.0001370699],"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":[0.00004823173,0.00005453385,0.000008548772,0.001028703,0.0001226027,0.0003819729,0.0002372314,0.1621891,0.8333035,0.000008118231,0.001942193,0.000675312],"study_design_scores_gemma":[0.0004654389,0.00005002398,0.0002863675,0.0002924642,0.00002157642,0.00000515426,0.00006853815,0.1982426,0.7978817,0.00001095989,0.002000016,0.0006751272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679594,0.0005683278,0.01274292,0.00009149526,0.001593573,0.0002110428,0.00006951165,0.0005584303,0.01620533],"genre_scores_gemma":[0.9978464,0.00005515866,0.000897348,0.00006179765,0.0005524902,0.00008290593,0.0001671812,0.00008867389,0.0002480607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03605358,"threshold_uncertainty_score":0.9918258,"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."}}