{"id":"W2806340729","doi":"10.1016/j.applthermaleng.2018.05.091","title":"Geometry and nanoparticle loading effects on the bio-based nano-PCM filled cylindrical thermal energy storage system","year":2018,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Phase-change material; Materials science; Thermal energy storage; Nano-; Nanoparticle; Composite material; Thermal conductivity; Thermal; Mass fraction; Energy storage; Nanotechnology; 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":[0.0003439061,0.0003307779,0.0002969142,0.0001863692,0.0001568266,0.0001095874,0.0002957626,0.0001366203,0.00007317284],"category_scores_gemma":[0.00003563519,0.0002544819,0.00005088293,0.0003651323,0.0000638027,0.00006404375,0.00009705096,0.0002055432,0.0001013784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001495837,"about_ca_system_score_gemma":0.00001202058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009140521,"about_ca_topic_score_gemma":8.476031e-7,"domain_scores_codex":[0.998462,0.0000447345,0.0002311089,0.000293024,0.0003089046,0.0006602286],"domain_scores_gemma":[0.9989542,0.0004081662,0.0000289024,0.0004113585,0.0000255409,0.0001717888],"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":[0.00005140958,0.00001472501,0.000005505146,0.0002055208,0.00005815583,0.00002023504,0.0001237965,0.02467271,0.9695045,0.003052748,0.00002869672,0.002261977],"study_design_scores_gemma":[0.0005191656,0.0000646962,0.0002105076,0.00008771372,0.00001216079,0.000004134184,0.00002391647,0.2368754,0.7615159,0.000002043022,0.0004449005,0.000239403],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927183,0.0001694582,0.004073297,0.00003846029,0.0004209212,0.0002981331,0.000008748579,0.0006898149,0.001582815],"genre_scores_gemma":[0.9988416,0.000003312905,0.0001403432,0.00007643551,0.0005956487,0.0002019581,0.000004744698,0.0001229419,0.00001299448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122027,"threshold_uncertainty_score":0.9999908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047894106608262,"score_gpt":0.2031002864748349,"score_spread":0.1926213454087523,"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."}}