{"id":"W4406153966","doi":"10.1039/d4lc00572d","title":"Synergizing microfluidics and plasmonics: advances, applications, and future directions","year":2025,"lang":"en","type":"review","venue":"Lab on a Chip","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Nanotechnology; Plasmon; Ranging; Engineering; Materials science; Optoelectronics; Telecommunications","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":[0.0001388034,0.0002286048,0.0005375445,0.00008424582,0.0003260343,0.000118992,0.0001571495,0.000140675,0.00002548703],"category_scores_gemma":[0.00001336289,0.0001776414,0.00007768231,0.0002389769,0.00006949439,0.00005868456,0.00007495028,0.0001470884,0.00004144181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002694702,"about_ca_system_score_gemma":0.00007575362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000483435,"about_ca_topic_score_gemma":0.000004542801,"domain_scores_codex":[0.9989175,0.00006595405,0.0002920074,0.0004524989,0.00008910461,0.0001829418],"domain_scores_gemma":[0.9991987,0.0002478565,0.0001295519,0.0003232425,0.00001855015,0.00008214469],"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":[0.00000120925,0.00003615242,0.000001536168,0.002527146,0.000008131466,3.72106e-7,0.000017962,4.64514e-8,0.0007362253,0.01388851,0.0002602835,0.9825224],"study_design_scores_gemma":[0.00005524286,0.000009752337,0.000002869185,0.001614197,0.0001603547,0.000008292382,0.00002152084,8.726524e-7,0.0009005854,0.0001941017,0.9968554,0.0001767829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002083373,0.9977123,0.00001417885,0.0001475353,0.0001337283,0.0005058541,0.0001343516,0.00007640654,0.001067267],"genre_scores_gemma":[0.00003183377,0.9982029,0.0005034296,0.00008180781,0.000225679,0.0005899639,0.00002215877,0.00001672254,0.0003254604],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9965951,"threshold_uncertainty_score":0.7244008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353439210579805,"score_gpt":0.2774562077066452,"score_spread":0.2639218156008472,"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."}}