{"id":"W2929958326","doi":"10.1016/j.solmat.2019.01.052","title":"Adsorbent screening for thermal energy storage application","year":2019,"lang":"en","type":"article","venue":"Solar Energy Materials and Solar Cells","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adsorption; Zeolite; Relative humidity; Salt (chemistry); Chemical engineering; Energy storage; Humidity; Activated alumina; Chemistry; Thermal energy storage; Materials science; Organic chemistry; Thermodynamics; Catalysis","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":[],"consensus_categories":[],"category_scores_codex":[0.0001946552,0.0001844898,0.0002515492,0.00005789017,0.00007123644,0.0001002161,0.00010545,0.0001404986,0.0001454472],"category_scores_gemma":[0.000001525119,0.0001773946,0.0000546393,0.00004327851,0.00001256641,0.0001102223,0.00002806635,0.00003809129,0.00002465803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001772407,"about_ca_system_score_gemma":0.000007185507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001256419,"about_ca_topic_score_gemma":0.00001070178,"domain_scores_codex":[0.9991124,0.00004026402,0.0002580268,0.0002287088,0.0001047289,0.0002559215],"domain_scores_gemma":[0.9995866,0.00002350355,0.0000593736,0.0002279145,0.00002838451,0.00007420041],"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":[0.00002358386,0.00001011494,0.00001355961,0.00009561356,0.00003657643,5.88781e-7,0.00006743777,0.01347325,0.9766281,0.003550908,0.0001526997,0.005947615],"study_design_scores_gemma":[0.0005969742,0.00005687541,0.00008163155,0.00004054358,0.00002125738,0.000003868954,0.00006102211,0.08588304,0.7356318,0.0001133685,0.1771354,0.0003741678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4508621,0.000481441,0.5462185,0.00001334446,0.001192814,0.0001899753,0.00005964594,0.0002547965,0.0007274162],"genre_scores_gemma":[0.9974985,0.0002014215,0.0007071921,0.00008907291,0.0003340842,0.00008481884,0.00008817817,0.00006444097,0.0009323519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5466364,"threshold_uncertainty_score":0.7233942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006381231212779156,"score_gpt":0.1858566641446852,"score_spread":0.179475432931906,"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."}}