{"id":"W4386022746","doi":"10.1021/acssuschemeng.3c02813","title":"Green and Sustainable Solvents for Solid-Phase Peptoid Synthesis","year":2023,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canada First Research Excellence Fund; Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto; Canada Foundation for Innovation","keywords":"Peptoid; Chemistry; Solvent; Green chemistry; Combinatorial chemistry; Hazardous waste; Solid-phase synthesis; Yield (engineering); Solid phase extraction; Organic chemistry; Materials science; Extraction (chemistry); Waste management; Ionic liquid","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003420444,0.0002752885,0.0002919866,0.00006188994,0.0001990424,0.00007715602,0.0002395076,0.0002085582,0.00002797205],"category_scores_gemma":[0.000861906,0.000295723,0.0001646471,0.0003087137,0.00004353536,0.00001487491,0.0003394955,0.00009541275,0.000002927298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006394408,"about_ca_system_score_gemma":0.0000601005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003721291,"about_ca_topic_score_gemma":2.741112e-7,"domain_scores_codex":[0.9981236,0.000007331329,0.0002521184,0.0005099294,0.000134118,0.0009729171],"domain_scores_gemma":[0.9991242,0.00007783372,0.00006431148,0.0003620102,0.0001804178,0.0001912801],"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":[0.00003788137,0.0000496949,0.00007178874,0.001099264,0.0001444817,0.00003978415,0.00002826976,0.0006718802,0.9954989,0.0001099073,0.001602426,0.0006457282],"study_design_scores_gemma":[0.0004840124,0.00003059692,0.00002281096,0.00002380704,0.00007661484,0.000008393824,0.001162306,0.001861513,0.9063852,0.0001185294,0.08948147,0.0003447436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963738,0.0005875768,0.001933221,0.0002941793,0.00001695604,0.0002445969,0.00002566603,0.0001104333,0.0004135293],"genre_scores_gemma":[0.9766449,0.0001891906,0.0002047003,0.00002575335,0.0002945895,0.0002750261,0.0001700402,0.00006782231,0.02212796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0891137,"threshold_uncertainty_score":0.9999495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005515295168901036,"score_gpt":0.2507587176994125,"score_spread":0.2452434225305115,"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."}}