{"id":"W2158916214","doi":"10.1039/c5dt03436a","title":"High volumetric uptake of ammonia using Cu-MOF-74/Cu-CPO-27","year":2015,"lang":"en","type":"article","venue":"Dalton Transactions","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Army Research Office","keywords":"Sorbent; Ammonia; Yield (engineering); Copper; Relative humidity; Volume (thermodynamics); Chemistry; Metal-organic framework; Materials science; Nuclear chemistry; Metallurgy; Adsorption; Physical chemistry; Organic chemistry; Thermodynamics","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":[0.0002194344,0.0002303123,0.0003772028,0.0001823048,0.0001791446,0.00004466866,0.0003221083,0.0002697663,0.003145623],"category_scores_gemma":[0.00007803928,0.0002383921,0.0002036215,0.0008747305,0.0001080853,0.000158604,0.00001053836,0.0003883323,0.0001488439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211703,"about_ca_system_score_gemma":0.0001568184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009275035,"about_ca_topic_score_gemma":0.00008647696,"domain_scores_codex":[0.9982958,0.00002752514,0.0005902523,0.00037891,0.0003786061,0.0003289357],"domain_scores_gemma":[0.9984898,0.0001252225,0.0002149777,0.0007478012,0.0001617144,0.0002604822],"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":[0.0001031116,0.002436749,0.001096228,0.0004279202,0.0006967273,0.00001043392,0.0010062,0.005387052,0.8670239,0.003810375,0.003831982,0.1141693],"study_design_scores_gemma":[0.002159568,0.00007913917,0.001600784,0.0002564154,0.001170724,0.00007759262,0.001904238,0.01352513,0.7862394,0.002247273,0.1895136,0.001226124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6866817,0.000678733,0.3063705,0.0004944582,0.0005439569,0.0002020278,0.000401582,0.0002234744,0.004403547],"genre_scores_gemma":[0.9778222,0.0000910369,0.01945972,0.00003477493,0.0001637014,0.00003463723,0.00004004839,0.00005590089,0.00229799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2911405,"threshold_uncertainty_score":0.9977657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03691992734013449,"score_gpt":0.2641775949721832,"score_spread":0.2272576676320487,"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."}}