{"id":"W3165546540","doi":"10.11159/ffhmt21.116","title":"Thermal Analysis of Latent Heat Thermal Energy Storage SystemsEnhanced with Annular and Radial Fins","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Latent heat; Thermal energy storage; Thermal; Materials science; Thermal analysis; Mechanics; Heat transfer; Thermodynamics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093718,0.00020191,0.0004195051,0.0001912179,0.0002554707,0.0003898086,0.0003070412,0.000160316,0.002679843],"category_scores_gemma":[0.0002067114,0.0001404981,0.0002875937,0.0001946748,0.0003260259,0.0005177228,0.0002131707,0.0001694345,0.0002043208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004823442,"about_ca_system_score_gemma":0.0002568156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071057,"about_ca_topic_score_gemma":0.002531466,"domain_scores_codex":[0.9999386,0.00001122253,0.000003089013,0.00001133117,0.00001729284,0.00001841034],"domain_scores_gemma":[0.999871,0.00005533234,0.00001171818,0.00001329767,0.00004016498,0.000008438755],"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":[0.002307205,0.000172249,0.004702643,0.0003763472,0.0001134762,0.0002169586,0.0001853051,0.5811865,0.3721782,0.004258735,0.001722995,0.03257934],"study_design_scores_gemma":[0.00002215101,0.0003785025,0.003427066,0.000008150983,0.00002287666,0.00002706082,0.00006801525,0.9436944,0.05127027,0.0005041507,0.0005636138,0.00001370688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851002,0.0004371465,0.009272786,0.00008619935,0.00003599412,0.0000144044,0.0001233654,0.000147463,0.004782306],"genre_scores_gemma":[0.9987294,0.00003253072,0.000331438,0.000003668551,0.000001955963,0.000004448711,0.00001717389,0.000004855129,0.0008746449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002679843,"threshold_uncertainty_score":0.008965015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0106681314581157,"score_gpt":0.1949910903121508,"score_spread":0.1843229588540351,"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."}}