{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009088488,0.0001822042,0.0003243294,0.0001435108,0.00004312728,0.00005482118,0.0001566706,0.00008415367,0.000087389],"category_scores_gemma":[0.000004740527,0.0001334199,0.00009797887,0.0002520596,0.00007279744,0.0001659693,0.00001351631,0.0001051552,2.181811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002788002,"about_ca_system_score_gemma":0.00003243168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003799681,"about_ca_topic_score_gemma":0.0000250157,"domain_scores_codex":[0.9990381,0.00001019708,0.0002717906,0.0002185237,0.0003092091,0.0001521887],"domain_scores_gemma":[0.9995204,0.00002184113,0.000007427265,0.00007724095,0.0003082982,0.00006479497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001863775,0.00004568687,0.00236119,0.0001484934,0.0009167223,0.000002015496,0.0008725619,0.06040048,0.9225854,0.01188781,0.00001285444,0.0005803673],"study_design_scores_gemma":[0.0008678595,0.00009868554,0.005164026,0.0002180194,0.0004054505,0.00000447742,0.0001513194,0.5993323,0.3934573,0.000031727,0.00005988144,0.0002090016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841404,0.0002176852,0.009927758,0.00038093,0.0001448064,0.0001145735,0.00008204715,0.00003416965,0.004957639],"genre_scores_gemma":[0.9991288,0.000464759,0.0001897709,0.00004817023,0.00003996753,0.00001642625,0.00002060848,0.00001932667,0.00007218105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5389318,"threshold_uncertainty_score":0.5440706,"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."}}