{"id":"W2888397617","doi":"10.1063/1.5030984","title":"Continuous flow microreactor for protein PEGylation","year":2018,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Microreactor; Micromixing; PEGylation; Chemistry; Microfluidics; Reagent; Selectivity; Mixing (physics); Exothermic reaction; Materials science; Polyethylene glycol; Nanotechnology; Organic chemistry; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008485265,0.0006938676,0.0005674468,0.0003157754,0.0002478824,0.0003332708,0.0006189991,0.0006042122,0.001634127],"category_scores_gemma":[0.000614023,0.000277899,0.0003552401,0.0002388391,0.0003218484,0.0004339275,0.0003124403,0.0006690255,0.0006393203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008627488,"about_ca_system_score_gemma":0.0007199041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138625,"about_ca_topic_score_gemma":0.001592301,"domain_scores_codex":[0.9994181,0.00009625251,0.00003658441,0.0001925585,0.0001977314,0.00005872216],"domain_scores_gemma":[0.9996722,0.0001489231,0.00006489833,0.00002517859,0.00006228297,0.00002644841],"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":[0.00009055559,0.00002104994,0.0000928224,0.0001047718,0.000006240095,0.00002134227,0.00002197865,0.0001883369,0.9902017,0.0003670462,0.0002867184,0.008597418],"study_design_scores_gemma":[0.0000249842,0.0003528398,0.0006290724,0.000006304897,0.00001642731,0.00009231992,0.000004723037,0.005096945,0.9854831,0.00005284093,0.008218891,0.00002150717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3947963,0.01450684,0.5766432,0.0006593034,0.0006442684,0.001039074,0.001565534,0.006118936,0.004026539],"genre_scores_gemma":[0.598374,0.003695556,0.3878688,0.0004278072,0.0001286781,0.0007691436,0.0007215479,0.0001439124,0.007870526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001634127,"threshold_uncertainty_score":0.00625968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008855174232245633,"score_gpt":0.2117109495659472,"score_spread":0.2028557753337016,"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."}}