{"id":"W4389097321","doi":"10.1016/j.csite.2023.103825","title":"Numerical investigation of heat transfer mechanism in an embedded PCM-TEG for better overall performance under the fluctuating heat source","year":2023,"lang":"en","type":"article","venue":"Case Studies in Thermal Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Childhood Cancer Canada; National Natural Science Foundation of China","keywords":"Materials science; Multiphysics; Thermoelectric generator; Phase-change material; Composite number; Heat transfer; Thermal; Computer science; Thermoelectric effect; Mechanical engineering; Composite material; Mechanics; Thermodynamics; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005124588,0.0002069593,0.0003024197,0.000213057,0.00006344803,0.00001918892,0.000139212,0.0000710305,0.000008217969],"category_scores_gemma":[0.00004579868,0.000175341,0.00004495954,0.0003751519,0.00005089943,0.0001932371,0.00005201077,0.0002086654,0.000002761699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406811,"about_ca_system_score_gemma":0.000008956468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002077238,"about_ca_topic_score_gemma":0.00001330777,"domain_scores_codex":[0.9988186,0.00004349289,0.0003389654,0.000186655,0.0001637658,0.0004485399],"domain_scores_gemma":[0.9994609,0.0002509369,0.000005632184,0.0001967106,0.00003724556,0.00004861657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001358752,0.000004190599,0.00004383239,0.0004154396,0.00003054436,0.00004645502,0.006263645,0.6641569,0.3287393,0.0000386588,0.000004802431,0.0002425831],"study_design_scores_gemma":[0.0005273963,0.00005746206,0.0004619164,0.0001462834,0.000007605289,0.00004047777,0.001226577,0.8414419,0.1558522,0.00005366336,0.000004801736,0.0001797691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938056,0.0002035062,0.005032125,0.00005645172,0.0002795196,0.0004266156,0.00001145354,0.0001752297,0.000009424572],"genre_scores_gemma":[0.9991491,0.00004692303,0.000244825,0.00003509583,0.0001450943,0.0002951048,0.00001062743,0.00006956468,0.000003693456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1772849,"threshold_uncertainty_score":0.7150201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07142013459525119,"score_gpt":0.3085669492669101,"score_spread":0.2371468146716589,"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."}}