{"id":"W3202019417","doi":"10.1039/d1ra04890b","title":"Biomedical nanobubbles and opportunities for microfluidics","year":2021,"lang":"en","type":"review","venue":"RSC Advances","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; St. Michael's Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Microfluidics; Nanotechnology; Biochemical engineering; Chemistry; Materials science; Engineering","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":[0.000151511,0.0001842943,0.0005463631,0.00004316554,0.00009259246,0.00003889632,0.0001173208,0.0001207103,0.0004977109],"category_scores_gemma":[0.00004492518,0.0001447921,0.0001134837,0.00008348916,0.0002173937,0.000154233,0.00007867865,0.00006492384,0.00001660132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630655,"about_ca_system_score_gemma":0.00003861023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003159287,"about_ca_topic_score_gemma":0.00000437879,"domain_scores_codex":[0.9990617,0.00005980095,0.0003130453,0.0002792887,0.0001462676,0.0001398762],"domain_scores_gemma":[0.9995121,0.000135006,0.0001342585,0.0001235624,0.000009524861,0.00008558793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[4.357153e-7,0.00001292433,6.050312e-7,0.0009566036,0.000007301654,0.000003260163,0.0000200439,3.896338e-8,0.00001978387,0.0006469911,0.02271847,0.9756135],"study_design_scores_gemma":[0.00004089065,0.00003228295,9.389154e-8,0.0007334198,0.00005195692,0.00001676712,0.00005540614,0.000004420663,0.00005629524,0.0002163576,0.9986179,0.0001741612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002304411,0.9954453,0.002613004,0.000104416,0.0001019578,0.0003241561,0.00007495037,0.00005211082,0.001281795],"genre_scores_gemma":[3.422302e-7,0.9893027,0.005875371,0.000186049,0.00005786483,0.0001895932,0.0002680462,0.0000176181,0.004102441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9758995,"threshold_uncertainty_score":0.5904449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0929516116049795,"score_gpt":0.3637662085964334,"score_spread":0.2708145969914539,"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."}}