{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000134612,0.0003072147,0.0002766622,0.0002402287,0.00009018361,0.0001228765,0.0001664534,0.0001809446,0.000277942],"category_scores_gemma":[0.000004074315,0.0003035943,0.0002469389,0.000289228,0.00003609283,0.0002011564,0.00001073824,0.0001252112,0.00001749173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001955349,"about_ca_system_score_gemma":0.00005825744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001522833,"about_ca_topic_score_gemma":0.00004019433,"domain_scores_codex":[0.9986728,0.00005311377,0.0003192499,0.0003355835,0.0002117663,0.0004074208],"domain_scores_gemma":[0.9994212,0.0000994954,0.000007390928,0.0002980113,0.00004320673,0.0001306336],"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":[0.0000186421,0.00002938222,0.000004239872,0.0001545519,0.00007553813,0.00001837815,0.0002133264,0.8400355,0.14897,0.007640216,0.001023619,0.001816564],"study_design_scores_gemma":[0.0003020408,0.00005560757,0.000007059568,0.00009889081,0.00003356433,0.000009192573,0.00004131964,0.7536904,0.02047648,0.00004366456,0.2249155,0.0003262739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2651089,0.005394452,0.725319,0.00001940112,0.001905572,0.0001263866,0.00008191313,0.001153839,0.0008905374],"genre_scores_gemma":[0.9962248,0.00003601587,0.0003302155,0.0001345331,0.0008684485,0.0002477724,0.00009244883,0.0001528724,0.001912921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7311158,"threshold_uncertainty_score":0.9999416,"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."}}