{"id":"W2791120582","doi":"10.30634/2414-2077.2017.03.3","title":"Analysis of Adsorption Thermal Storage Device for Solar Energy Storage","year":2018,"lang":"en","type":"article","venue":"International Journal of Green Technology","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thermal energy storage; Energy storage; Solar energy; Materials science; Adsorption; Environmental science; Chemistry; Electrical engineering; Physics; Engineering; Thermodynamics","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":[0.0002082127,0.00009629782,0.0002721792,0.001324362,0.00001771634,0.00001106611,0.000458997,0.0001501436,0.00008032208],"category_scores_gemma":[0.00003899842,0.00009101978,0.0001846801,0.0004173983,0.00007510468,0.000118227,0.00002845806,0.0001167685,0.000004592063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009456986,"about_ca_system_score_gemma":0.00002342424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000311174,"about_ca_topic_score_gemma":0.0001117012,"domain_scores_codex":[0.9990642,0.00001737735,0.0004796158,0.00008374093,0.0002389607,0.0001161249],"domain_scores_gemma":[0.9987052,0.00003928719,0.000313035,0.0001303857,0.0007809678,0.00003110691],"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":[0.0006498538,0.0003022137,0.02069684,0.00008189392,0.01838322,0.00007642607,0.001147481,0.07602257,0.6512571,0.02446105,0.001942561,0.2049788],"study_design_scores_gemma":[0.003435047,0.001350148,0.01398688,0.0002573419,0.001675714,0.0003468819,0.0008096285,0.7368554,0.1460165,0.003299634,0.09121394,0.0007529406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7182361,0.0002406006,0.2800966,0.0002543333,0.0008698746,0.00003413107,0.00002359678,0.00006651054,0.0001782647],"genre_scores_gemma":[0.9985678,0.00002913339,0.0007951926,0.00004598108,0.0004073367,0.000004315989,0.000007177893,0.00001634313,0.0001267454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6608328,"threshold_uncertainty_score":0.3711679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036291198977272,"score_gpt":0.2507369158263797,"score_spread":0.240374003836607,"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."}}