{"id":"W4290065492","doi":"10.1016/j.jclepro.2022.133262","title":"Magnesium sulphate hybrids with silica gel and activated alumina for thermal energy storage","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Magnesium; Thermal; Thermal energy storage; Silica gel; Chemical engineering; Chemistry; Materials science; Waste management; Organic chemistry; Engineering; Physics","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":[0.00009908401,0.0003031225,0.0002666474,0.0003135208,0.0002256772,0.0003742174,0.0003696691,0.0004261171,0.001209318],"category_scores_gemma":[0.0001170945,0.0001894262,0.0003961399,0.0002412648,0.0001633754,0.000405819,0.0003314799,0.0002890969,0.0005191163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002922514,"about_ca_system_score_gemma":0.0001128639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006428776,"about_ca_topic_score_gemma":0.001788841,"domain_scores_codex":[0.9999104,0.000009509837,0.000006648484,0.00001748524,0.00002916083,0.00002681162],"domain_scores_gemma":[0.9999582,0.000007327003,0.000009772313,0.000005617111,0.00001124109,0.000007869698],"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":[0.000120014,0.00001209112,0.00007009147,0.00007333406,0.00001391869,0.00004191124,0.00002164757,0.0001957368,0.9972522,0.0002313763,0.00009634545,0.001871375],"study_design_scores_gemma":[0.000008843868,0.0001360494,0.0005489188,0.000003707355,0.00002183123,0.00004593346,0.00002197695,0.001098929,0.9964643,0.00004517219,0.001595111,0.000009342091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925379,0.001658013,0.002320087,0.0000809979,0.0001015037,0.00002305444,0.0001039196,0.0002134955,0.002960998],"genre_scores_gemma":[0.9965798,0.0002828732,0.0009863158,0.00002381026,0.00001138595,0.00001201043,0.0000520643,0.0000185507,0.00203315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001209318,"threshold_uncertainty_score":0.004045546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006284819957966653,"score_gpt":0.1829576007251849,"score_spread":0.1766727807672183,"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."}}