{"id":"W3021209817","doi":"10.1021/acs.est.0c01755","title":"Three-Dimensional Printable Sodium Carbonate Composite Sorbents for Efficient Biogas Upgrading","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Office of Technology Development; U.S. Department of Energy","keywords":"Sorbent; Biogas; Sorption; Composite number; Materials science; Chemical engineering; Sodium carbonate; Waste management; Adsorption; Pulp and paper industry; Composite material; Chemistry; Sodium; Metallurgy; Organic chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001533089,0.0001332592,0.00006934287,0.000131473,0.0001266538,0.0002117656,0.0002171581,0.0002153609,0.001535412],"category_scores_gemma":[0.0001302192,0.0001027752,0.0001643419,0.00008518193,0.0001181473,0.0001816868,0.0001197386,0.0002341262,0.000303701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002074224,"about_ca_system_score_gemma":0.0001974191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006500011,"about_ca_topic_score_gemma":0.003382508,"domain_scores_codex":[0.9998658,0.00001165758,0.000004700385,0.00001750722,0.00009011762,0.00001025677],"domain_scores_gemma":[0.9999471,0.00001733992,0.000009220032,0.000006685983,0.00001279366,0.000007006635],"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":[0.00002021609,0.00001983617,0.0001242422,0.00002409617,0.000002764536,0.00001486626,0.000007806389,0.0006909169,0.9969212,0.0001349952,0.0000300938,0.002009149],"study_design_scores_gemma":[0.000004888293,0.00004475117,0.0007932607,0.000001407181,0.000002694232,0.00001699201,0.000008094936,0.00556838,0.9928796,0.00002224829,0.0006554095,0.000002341392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797384,0.0002613649,0.01724424,0.00005424412,0.00003462746,0.00003300323,0.000133729,0.0001010568,0.002399446],"genre_scores_gemma":[0.9829418,0.0001723132,0.01414741,0.00001931665,0.00000367662,0.00001919386,0.000105609,0.00001732146,0.002573365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001535412,"threshold_uncertainty_score":0.00513649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008315346060296339,"score_gpt":0.1932106629053877,"score_spread":0.1848953168450913,"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."}}