{"id":"W2993090621","doi":"10.1002/est2.116","title":"Improving clean energy greenhouse heating with solar thermal energy storage and phase change materials","year":2019,"lang":"en","type":"article","venue":"Energy Storage","topic":"Phase Change Materials Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Agricultural Adaptation Council","keywords":"TRNSYS; Payback period; Environmental science; Greenhouse gas; Thermal energy storage; Phase-change material; Process engineering; Solar energy; Nuclear engineering; Zero-energy building; Energy consumption; Energy storage; Thermal energy; Environmental engineering; Waste management; Thermal; Engineering; Meteorology; Electrical engineering; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004127474,0.0005168385,0.0005590349,0.0003062049,0.0001629402,0.0002571643,0.0003497594,0.0001853978,0.0005446823],"category_scores_gemma":[0.00001313649,0.0004755667,0.00005458996,0.0002331436,0.00008068806,0.0006211945,0.0002388338,0.0001520419,0.0000177353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758952,"about_ca_system_score_gemma":0.00003071367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005229663,"about_ca_topic_score_gemma":0.0007832204,"domain_scores_codex":[0.9974735,0.0002403023,0.0003809719,0.0005717094,0.0004315641,0.000901887],"domain_scores_gemma":[0.9988275,0.00007030141,0.0001126864,0.0006372599,0.00005830341,0.0002939361],"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":[0.0001744273,0.00007703579,0.00002598934,0.0001750565,0.0001014884,0.0002792961,0.0005777453,0.001202099,0.9351479,0.0006273671,0.0001210742,0.06149056],"study_design_scores_gemma":[0.003543801,0.0006357721,0.0001733946,0.0001785979,0.00003831509,0.00007500153,0.0002122941,0.03097727,0.9482365,0.00002818409,0.014799,0.001101832],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868149,0.0008831859,0.009442301,0.00002457792,0.0006799466,0.0001439111,0.0001307699,0.0005967403,0.001283738],"genre_scores_gemma":[0.9972716,0.0001712211,0.0002381242,0.0001928776,0.00109665,0.0001453809,0.0001342744,0.0002926728,0.0004572012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06038873,"threshold_uncertainty_score":0.9997696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992059099060434,"score_gpt":0.2363445451744468,"score_spread":0.2164239541838425,"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."}}