{"id":"W4312211321","doi":"10.1021/acs.langmuir.2c02279","title":"Rheological Behavior of Phase Change Slurries for Thermal Energy Applications","year":2022,"lang":"en","type":"article","venue":"Langmuir","topic":"Phase Change Materials Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Eavor Technologies; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Rheology; Materials science; Shear rate; Slurry; Viscoelasticity; Phase-change material; Thermal; Thermodynamics; Thermal energy storage; Mechanics; Composite material","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":[0.0003322028,0.0003558058,0.0002226292,0.0002331736,0.0001265406,0.0003488903,0.0001488361,0.0001959137,0.0006567395],"category_scores_gemma":[0.0007966533,0.0001186438,0.0001561809,0.0001872551,0.0001505561,0.0002877953,0.0001114897,0.0003197037,0.0002054956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934904,"about_ca_system_score_gemma":0.000170335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003329805,"about_ca_topic_score_gemma":0.0007007919,"domain_scores_codex":[0.9998512,0.00002078631,0.0000166981,0.00003004996,0.00006322577,0.00001802471],"domain_scores_gemma":[0.9997494,0.00005833165,0.00006876623,0.00001986062,0.00008174124,0.00002190363],"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":[0.00002548467,0.00000937719,0.0002599641,0.00002989726,0.000002193519,0.00002350473,0.00001797518,0.0001726593,0.9980897,0.00003375761,0.00002717829,0.001308327],"study_design_scores_gemma":[0.000004234158,0.0001663345,0.002312303,0.000006676809,0.000007767345,0.00004509446,0.00002724051,0.001853365,0.9947419,0.00001842897,0.000811979,0.000004471813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923331,0.0009084274,0.005318383,0.00006820627,0.00003289378,0.00003074603,0.0002444921,0.00007713467,0.0009867209],"genre_scores_gemma":[0.9931924,0.0005714816,0.005048572,0.00002244624,0.000009577097,0.00003160522,0.0003061162,0.00003620338,0.0007816849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006567395,"threshold_uncertainty_score":0.002197087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09657700173226716,"score_gpt":0.3391660831548196,"score_spread":0.2425890814225524,"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."}}