{"id":"W3135518153","doi":"10.1038/s41598-021-84896-1","title":"A low cost and open access system for rapid synthesis of large volumes of gold and silver nanoparticles","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; University of Ottawa Heart Institute Foundation","keywords":"Nanomaterials; Colloidal gold; Nanotechnology; Scalability; Nanoparticle; Silver nanoparticle; Nanoscopic scale; Materials science; Continuous flow; Computer science; Translation (biology); Chemistry; Biochemical engineering; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.001071041,0.00007589651,0.0002178692,0.00009053852,0.00005530377,0.000172417,0.0001210011,0.00004042148,0.00001125845],"category_scores_gemma":[0.0001401115,0.00007267664,0.00002133269,0.0004765092,0.0001243491,0.000306313,0.000207964,0.00002789469,1.555079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002459416,"about_ca_system_score_gemma":0.00005325757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005884462,"about_ca_topic_score_gemma":0.00000148556,"domain_scores_codex":[0.9990728,0.00001099382,0.0004257618,0.0002433916,0.0001148076,0.0001321912],"domain_scores_gemma":[0.9991567,0.00003138313,0.0001492102,0.0002998922,0.0003403311,0.0000224793],"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":[0.000004375951,0.00002284694,0.001041951,0.0007549815,0.00002533775,0.00001202306,0.0001041767,0.000002290982,0.9777375,0.001303409,0.007277401,0.01171364],"study_design_scores_gemma":[0.0000922706,0.000005351049,0.0004314214,0.0002374309,0.00001774584,0.00004903385,0.000219341,0.0005140733,0.993525,0.0002924477,0.004540103,0.00007580406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872116,0.0006281242,0.01011612,0.00002111603,0.0006805724,0.0004909823,0.00004360681,0.00005371268,0.0007542098],"genre_scores_gemma":[0.9990467,0.000007298666,0.0006439164,0.000004823283,0.000007775561,0.00006324837,0.00001954241,0.00001135165,0.0001953107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01578741,"threshold_uncertainty_score":0.2963668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179269742114466,"score_gpt":0.2833089864393126,"score_spread":0.261516289018168,"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."}}