{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002520622,0.0005641954,0.0004387816,0.0009190456,0.0006156362,0.0006106205,0.0004135768,0.0006351664,0.00337167],"category_scores_gemma":[0.0002894516,0.0002517939,0.0005073052,0.0004534672,0.0002072741,0.0004317782,0.0003750685,0.0004454103,0.0008682698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004723724,"about_ca_system_score_gemma":0.0003933854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781599,"about_ca_topic_score_gemma":0.00425705,"domain_scores_codex":[0.9997435,0.00004113681,0.000008051905,0.00003171811,0.0001253249,0.00005019327],"domain_scores_gemma":[0.9998978,0.00003052722,0.000006804739,0.00001010865,0.00004515845,0.000009524721],"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":[0.0001291551,0.00009684527,0.0004087004,0.0003929425,0.00002560526,0.00006648141,0.00002481596,0.00130834,0.977347,0.00079296,0.001245258,0.01816191],"study_design_scores_gemma":[0.000005899068,0.0001311472,0.0007691946,0.0000140058,0.00002161218,0.0000427603,0.00002548559,0.00886092,0.9851868,0.0001398464,0.004791453,0.00001095919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8900374,0.01041782,0.06148128,0.001015088,0.0003492736,0.0003511257,0.00121714,0.001786128,0.03334471],"genre_scores_gemma":[0.9653313,0.003150885,0.01756448,0.0001819032,0.00005258625,0.00007363214,0.0004358624,0.00007141934,0.01313796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00337167,"threshold_uncertainty_score":0.01127928,"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."}}