{"id":"W4200535306","doi":"10.1126/science.abi7281","title":"A scalable metal-organic framework as a durable physisorbent for carbon dioxide capture","year":2021,"lang":"en","type":"article","venue":"Science","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":978,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Ottawa; University of Alberta; University of Calgary","funders":"","keywords":"Metal-organic framework; Carbon dioxide; Sorption; Physisorption; Durability; Relative humidity; Chemical engineering; Materials science; Carbon fibers; Composite number; Environmental science; Chemistry; Adsorption; Composite material; 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":[0.00008037806,0.0003810718,0.000174439,0.0001777906,0.0002089014,0.00028193,0.0004860596,0.0005925498,0.001342552],"category_scores_gemma":[0.0000853063,0.0001793774,0.0001691894,0.0001271531,0.0001822866,0.000320927,0.0002825072,0.0003924385,0.0004895693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004421005,"about_ca_system_score_gemma":0.000210565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320537,"about_ca_topic_score_gemma":0.002775177,"domain_scores_codex":[0.9998971,0.00000561393,0.000002786345,0.00002376327,0.00004035559,0.0000303474],"domain_scores_gemma":[0.9999715,0.000003710468,0.000005006684,0.000002977705,0.000004725478,0.00001208323],"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":[0.00003014242,0.00004107412,0.00005617299,0.00007449665,0.000007006376,0.0001158176,0.00001119595,0.0003770913,0.9936626,0.0005097407,0.0003422554,0.004772469],"study_design_scores_gemma":[0.00003198161,0.0002730904,0.0009319573,0.000006331939,0.0000115027,0.000199174,0.0000146962,0.004202787,0.9844738,0.00010414,0.00973148,0.00001907066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545447,0.005294092,0.02347677,0.0006745472,0.0002707217,0.000162073,0.0006214032,0.001439471,0.01351623],"genre_scores_gemma":[0.9839017,0.0008955505,0.01056247,0.0001006799,0.00002248678,0.0000351319,0.0001816864,0.00003153922,0.004268819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001342552,"threshold_uncertainty_score":0.004491329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260308570594484,"score_gpt":0.2532923044867136,"score_spread":0.2406892187807688,"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."}}