{"id":"W4414534437","doi":"10.3390/nano15191476","title":"Recent Advances in Nano-Engineered Thermochemical Energy Storage Materials: Morphologies, Characteristics, and Performance","year":2025,"lang":"en","type":"review","venue":"Nanomaterials","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Energy storage; Sintering; Renewable energy; Thermal energy storage; Hydrogen storage; Lead (geology); Nanomanufacturing; Performance enhancement","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002948617,0.000545394,0.001966927,0.0002484516,0.00003400304,0.000105883,0.0002826089,0.0005075406,0.0002064356],"category_scores_gemma":[0.00007030853,0.0004713408,0.00007180065,0.0002013121,0.00004136228,0.0001341039,0.00008849898,0.0001125312,0.00002592303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797213,"about_ca_system_score_gemma":0.00007228151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002582332,"about_ca_topic_score_gemma":8.344798e-7,"domain_scores_codex":[0.9979243,0.0001542106,0.001044691,0.0003807426,0.0001240073,0.0003720914],"domain_scores_gemma":[0.9992696,0.00009602233,0.000189347,0.0003536277,0.00003010782,0.00006128149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001660971,0.00001688659,0.000001526847,0.03044082,0.00004595167,0.00001906593,0.00002266364,0.000007527108,0.006128985,0.00007602256,0.0002292508,0.9629947],"study_design_scores_gemma":[0.0001620354,0.00001825692,0.000007779866,0.009804685,0.00006569201,0.00004314103,0.000003713145,0.00002310729,0.002853071,0.00000488787,0.9865268,0.0004868208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00630774,0.9889036,0.00003297057,0.000001948022,0.003534811,0.000360948,0.0002647109,0.000340205,0.0002530455],"genre_scores_gemma":[0.005586588,0.9929992,0.00003600156,0.00001032926,0.0003165396,0.0003256427,0.0004065354,0.00007547218,0.0002437181],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9862975,"threshold_uncertainty_score":0.9997738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629707636235166,"score_gpt":0.2520362889090073,"score_spread":0.2357392125466556,"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."}}