{"id":"W4388342254","doi":"10.1002/adsu.202300309","title":"Improving Atmospheric Water Harvesting in Carbon‐Based Sorbents Through CO<sub>2</sub> Activation","year":2023,"lang":"en","type":"article","venue":"Advanced Sustainable Systems","topic":"Aerogels and thermal insulation","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Sorption; Environmental science; Relative humidity; Pyrolysis; Sodium carbonate; Yield (engineering); Carbon fibers; Sorbent; Atmospheric pressure; Chemical engineering; Sodium; Adsorption; Materials science; Chemistry; Meteorology; Composite material; Organic chemistry","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":[0.00009411349,0.0003276858,0.0001521228,0.0001304337,0.0001183086,0.0002190789,0.0001686436,0.0002611298,0.001139932],"category_scores_gemma":[0.00013307,0.0001234052,0.0001468722,0.0001321615,0.0002274806,0.0002661452,0.0002066162,0.0002707648,0.0003083751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180372,"about_ca_system_score_gemma":0.0001183154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006870708,"about_ca_topic_score_gemma":0.00185539,"domain_scores_codex":[0.9999146,0.000008365724,0.00000411728,0.00002081572,0.0000324172,0.00001958937],"domain_scores_gemma":[0.9999316,0.00001841717,0.00001588919,0.000006606178,0.00001795552,0.000009502722],"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":[0.00001528307,0.000005964052,0.00005768181,0.00003199387,0.000002116079,0.00002061924,0.000006832774,0.0001173094,0.9986333,0.00003940654,0.00004064887,0.00102884],"study_design_scores_gemma":[0.000002437019,0.00003244577,0.000517969,0.000001553756,0.000002847995,0.00002454766,0.000006807129,0.001091704,0.9976311,0.00001379423,0.000672386,0.000002558923],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891326,0.0006312701,0.006807812,0.0000774279,0.00003586208,0.00002373811,0.00007946887,0.0001404305,0.003071451],"genre_scores_gemma":[0.9944621,0.0003596981,0.003407065,0.0000273313,0.000008410252,0.00001015651,0.0000526185,0.00003455225,0.00163803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001139932,"threshold_uncertainty_score":0.003813446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113535646552029,"score_gpt":0.238298202321927,"score_spread":0.2271628458564068,"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."}}