{"id":"W2886081458","doi":"10.1504/ijad.2018.10015269","title":"Effect of ternary nanoparticles fluid mixture in heat enhancement and heat storage","year":2018,"lang":"en","type":"article","venue":"International Journal of Aerodynamics","topic":"Phase Change Materials Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Nanoparticle; Thermal energy storage; Materials science; Ternary operation; Chemical engineering; Phase-change material; Thermodynamics; Nanotechnology; Thermal","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":[0.0004045102,0.000471421,0.0005602981,0.0005430885,0.0002875951,0.0006142913,0.0003371983,0.0004755025,0.001021963],"category_scores_gemma":[0.0007579958,0.0002235593,0.0004530702,0.0003039113,0.0004216659,0.0007151932,0.0005061955,0.0003644657,0.0001748097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000391172,"about_ca_system_score_gemma":0.0003143214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006229146,"about_ca_topic_score_gemma":0.0005914634,"domain_scores_codex":[0.9996076,0.00008201354,0.00003964471,0.00007405979,0.0001289894,0.000067754],"domain_scores_gemma":[0.9996279,0.0001726441,0.00007490594,0.00001620628,0.00007184506,0.00003638056],"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":[0.0006613402,0.0001266801,0.0005099896,0.0002997334,0.00002649041,0.0001338009,0.00006537591,0.001758871,0.9901745,0.000394431,0.0000640309,0.005784773],"study_design_scores_gemma":[0.00001752964,0.0003604133,0.0003600704,0.000008768166,0.00002525973,0.00004207661,0.00001937612,0.002967671,0.9955503,0.00002828467,0.0006112836,0.000008984312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925074,0.00234658,0.003616746,0.00005582235,0.00006536111,0.00003408283,0.00006543657,0.00008615087,0.001222413],"genre_scores_gemma":[0.9943984,0.0005771099,0.004459525,0.00002070732,0.00001337238,0.00002201939,0.00003733954,0.00001505017,0.0004564297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001021963,"threshold_uncertainty_score":0.003418744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006855473187824614,"score_gpt":0.2810513102041339,"score_spread":0.2741958370163093,"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."}}