{"id":"W1193197701","doi":"10.1007/s11468-015-0016-1","title":"Microfluidic Plasmonic Biosensor for Breast Cancer Antigen Detection","year":2015,"lang":"en","type":"article","venue":"Plasmonics","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biosensor; Surface plasmon resonance; Materials science; Plasmon; Microfluidics; Nanotechnology; Optoelectronics; Surface plasmon; Extraordinary optical transmission; Substrate (aquarium); Surface plasmon polariton; Nanoparticle","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003778014,0.0003844822,0.0003529399,0.0004071378,0.0003416847,0.0004737315,0.0007523109,0.0006159255,0.002457141],"category_scores_gemma":[0.0005133699,0.000412685,0.0002171378,0.0002260965,0.0002050147,0.0004559672,0.0004444797,0.0005269104,0.00124317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006884302,"about_ca_system_score_gemma":0.0004366737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005192316,"about_ca_topic_score_gemma":0.001176898,"domain_scores_codex":[0.9997646,0.00003058849,0.00001370462,0.00006054274,0.00009056692,0.00003996017],"domain_scores_gemma":[0.9998854,0.00003310631,0.00002010145,0.00001210048,0.00003323006,0.00001594549],"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":[0.0001030221,0.00009189536,0.0001889622,0.0001435646,0.000009738866,0.00007170386,0.00003247264,0.0002692953,0.9775814,0.001123133,0.001934273,0.01845038],"study_design_scores_gemma":[0.00003003378,0.000241825,0.0008857001,0.0000163426,0.00002259689,0.000325607,0.00002074135,0.006416201,0.9733248,0.0003327558,0.01836791,0.00001539177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408526,0.05037493,0.2623816,0.004841971,0.003636711,0.0005583355,0.001273965,0.003673171,0.03240675],"genre_scores_gemma":[0.8575631,0.00811833,0.1029694,0.001558663,0.0004710227,0.000274162,0.0005190672,0.0001069411,0.02841928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002457141,"threshold_uncertainty_score":0.008219957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116642080869527,"score_gpt":0.2643485318933331,"score_spread":0.2331821110846378,"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."}}