{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001439336,0.000256332,0.0002514724,0.0004102013,0.0001426629,0.00003331955,0.0008206408,0.0001931834,0.000028314],"category_scores_gemma":[0.0000423389,0.0002584371,0.00007514359,0.0009061596,0.001321549,0.0001068155,0.0005454886,0.0003003427,0.00007311374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004291678,"about_ca_system_score_gemma":0.00001928027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005736581,"about_ca_topic_score_gemma":0.00000357558,"domain_scores_codex":[0.9981248,0.000002997721,0.0002465571,0.0005803517,0.0003544622,0.0006908286],"domain_scores_gemma":[0.9994227,0.00002422566,0.00005182027,0.0003632242,0.000007443687,0.0001306331],"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":[0.000009292579,0.00002930524,0.002666086,0.000008652019,0.00001412792,0.000008876072,0.00004246366,0.03700106,0.9562494,0.002059171,0.0001379222,0.00177364],"study_design_scores_gemma":[0.0005416998,0.0001272758,0.001972405,0.00001435814,0.00001860572,0.00002991817,0.0001374739,0.2232217,0.7676016,0.001246307,0.004689195,0.0003994662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904654,0.0005513957,0.004404988,0.001484425,0.0003018763,0.0005371284,0.0000306614,0.001869755,0.0003543685],"genre_scores_gemma":[0.9933394,0.00001143612,0.006374532,0.0001189683,0.00002762148,0.00007947199,0.000005788356,0.00003579909,0.000006934331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1886478,"threshold_uncertainty_score":0.9999868,"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."}}