{"id":"W2762684335","doi":"10.1021/jacs.7b09983","title":"Enantioselective Recognition of Ammonium Carbamates in a Chiral Metal–Organic Framework","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Division of Chemistry; National Institute of General Medical Sciences; National Science Foundation; University at Buffalo; Office of Science; Advanced Research Projects Agency - Energy; Ministerstwo Edukacji i Nauki; Argonne National Laboratory; U.S. Department of Energy; Philomathia Foundation; National Institutes of Health; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; Basic Energy Sciences; University of California Berkeley; Advanced Research Projects Agency","keywords":"Chemistry; Enantioselective synthesis; Ammonium; Combinatorial chemistry; Organic chemistry; Catalysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009949132,0.0003321169,0.0001896199,0.0001373947,0.0001771658,0.0003444543,0.0004418753,0.0002457891,0.0006039364],"category_scores_gemma":[0.0001236503,0.000163923,0.0001349822,0.0001231118,0.0002380105,0.0001893587,0.0002586749,0.0002126901,0.0002356833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355814,"about_ca_system_score_gemma":0.0001969086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207639,"about_ca_topic_score_gemma":0.004452681,"domain_scores_codex":[0.9998738,0.00001300387,0.000005529042,0.00002485893,0.00003894809,0.00004386417],"domain_scores_gemma":[0.9999583,0.000006550456,0.00001137227,0.0000055324,0.000005555796,0.0000127637],"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":[0.00009918919,0.00003700655,0.0003005724,0.00005075775,0.000007755077,0.0001199929,0.00002813908,0.0007152411,0.9957572,0.0006637275,0.0001005119,0.002119963],"study_design_scores_gemma":[0.00002974426,0.0001430315,0.0009555015,0.000003612162,0.000006932212,0.0000847361,0.00002417887,0.007789479,0.9888193,0.00006889535,0.002062081,0.000012533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947551,0.000416265,0.00191528,0.00004993991,0.00001458959,0.00001858577,0.00007976571,0.0001166219,0.002633719],"genre_scores_gemma":[0.9978843,0.0001397403,0.001392933,0.00002021112,0.000004514208,0.000007307262,0.00005435179,0.00000704191,0.0004896459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00207639,"threshold_uncertainty_score":0.004128575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065761424005298,"score_gpt":0.2487893597108788,"score_spread":0.2381317454708258,"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."}}