{"id":"W4403701229","doi":"10.1002/est2.70041","title":"Adsorption‐Based Thermal Energy Storage Using Zeolites for Mobile Heat Transfer","year":2024,"lang":"en","type":"article","venue":"Energy Storage","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Heat transfer; Thermal energy storage; Materials science; Chemical engineering; Thermal; Thermodynamics; Chemistry; Organic chemistry; Physics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001093401,0.0002163882,0.0001900627,0.0002071785,0.0001523941,0.000319385,0.0002264914,0.0001649393,0.0006832829],"category_scores_gemma":[0.000151803,0.0001059286,0.0002115168,0.0001628191,0.0002212761,0.0002736238,0.0002063636,0.0002276594,0.0002055597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796689,"about_ca_system_score_gemma":0.0001341111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149653,"about_ca_topic_score_gemma":0.002205216,"domain_scores_codex":[0.9999329,0.000009064581,0.000005417077,0.00001194459,0.00001938844,0.00002136081],"domain_scores_gemma":[0.9999479,0.00001191465,0.00001265813,0.000007994406,0.00001190628,0.000007680128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005808518,0.0000092288,0.000186885,0.00003491356,0.00000464395,0.00002172539,0.000007954372,0.0001728819,0.9980794,0.0001054776,0.00002294026,0.001295913],"study_design_scores_gemma":[0.00000724008,0.0000658781,0.0007804044,0.000002632893,0.000005714543,0.00002528172,0.00001335261,0.002243344,0.9963372,0.00001502244,0.0004992633,0.000004607701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955565,0.0003303094,0.003309329,0.00002873092,0.00001464577,0.00001061066,0.0000702049,0.00006860785,0.0006110235],"genre_scores_gemma":[0.9988765,0.00008348902,0.0006851641,0.000004199426,0.000001887631,0.000003333333,0.000030089,0.000003937081,0.0003113986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001149653,"threshold_uncertainty_score":0.002285898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366331849014169,"score_gpt":0.2262037308954692,"score_spread":0.2125404124053275,"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."}}