{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003858853,0.0002113623,0.0003034742,0.00004782251,0.0004383839,0.0001665382,0.0007023081,0.0001767382,0.002030817],"category_scores_gemma":[0.001648868,0.0001940552,0.0001539576,0.001318544,0.0002835707,0.0001630615,0.0001831047,0.0003168317,0.000104809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001266454,"about_ca_system_score_gemma":0.0005597059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004462077,"about_ca_topic_score_gemma":0.00001300799,"domain_scores_codex":[0.9977283,0.00001474683,0.0002854851,0.0008224801,0.0005508003,0.0005981108],"domain_scores_gemma":[0.9980364,0.0002634399,0.0001324578,0.001088875,0.0002566162,0.0002222323],"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":[0.000003735169,0.0001159995,0.00005118066,0.00004902357,0.00002198543,0.000003039149,0.0001655958,0.0000170042,0.9883047,0.0102541,0.00008990285,0.0009237663],"study_design_scores_gemma":[0.0001200978,0.000007119811,0.00007568479,0.0001133247,0.00006605771,0.00001871077,0.0006541341,0.0006938214,0.9628007,0.01987748,0.01531487,0.0002579262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9274024,0.003575075,0.008939215,0.004753638,0.0004567219,0.0003777377,0.00005172895,0.0002885554,0.05415492],"genre_scores_gemma":[0.9785069,0.00008704432,0.010806,0.0003512523,0.0001847104,0.0001759159,0.000006873614,0.00003754357,0.009843744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05110451,"threshold_uncertainty_score":0.9988815,"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."}}