{"id":"W4366446726","doi":"10.32920/22657372","title":"Performance Assessment of Nano-enhanced Phase Change Material for Thermal Storage","year":2023,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase-change material; Materials science; Thermal energy storage; Heat transfer; Octadecane; Thermodynamics; Latent heat; Natural convection; Heat transfer enhancement; Phase change; Thermal; Work (physics); Convection; Composite material; Heat transfer coefficient; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001821053,0.0001572107,0.0001865988,0.0001406321,0.0001027667,0.000195333,0.0002281692,0.0002048195,0.0006063412],"category_scores_gemma":[0.0002154947,0.00008354407,0.0001848965,0.00011918,0.0001392883,0.000264776,0.0001403916,0.0001418891,0.000159951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002188655,"about_ca_system_score_gemma":0.00009521368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002414811,"about_ca_topic_score_gemma":0.0004760984,"domain_scores_codex":[0.9999247,0.0000105379,0.000005008847,0.00001600289,0.00003417629,0.000009565101],"domain_scores_gemma":[0.999928,0.00002108702,0.00001548678,0.000007728977,0.00002228157,0.000005410772],"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":[0.0001174738,0.00003587046,0.0003642065,0.0001363565,0.000004715864,0.00004179353,0.00002105059,0.004917935,0.9896394,0.0002251147,0.00005055749,0.004445497],"study_design_scores_gemma":[0.000006860122,0.0005022945,0.0009217027,0.000007262752,0.00000783662,0.00003886798,0.00002027766,0.03387091,0.9636025,0.00004127552,0.0009723875,0.000007905009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914016,0.0008039957,0.006530629,0.00003478016,0.00002459722,0.00001891906,0.00009250153,0.000069552,0.001023343],"genre_scores_gemma":[0.9911775,0.0003758719,0.007546987,0.00001036136,0.000003518297,0.00002556689,0.00006856969,0.000008720069,0.0007828451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006063412,"threshold_uncertainty_score":0.002028346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1429561996001673,"score_gpt":0.387979357789479,"score_spread":0.2450231581893117,"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."}}