{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003841957,0.0003378793,0.0003556579,0.0002007119,0.0001444262,0.00009609853,0.0003321658,0.0002778709,0.00003850096],"category_scores_gemma":[0.00007157803,0.0003405334,0.0001431341,0.0003883608,0.00007657135,0.0002404432,0.00005703159,0.0003600869,0.000238414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004334946,"about_ca_system_score_gemma":0.0002063797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007323284,"about_ca_topic_score_gemma":0.0001394398,"domain_scores_codex":[0.9979597,0.00003247045,0.000361936,0.0003783426,0.0004016013,0.0008659041],"domain_scores_gemma":[0.9988085,0.0001817842,0.00004683042,0.000337793,0.0002201402,0.0004049786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001932082,0.0005128036,0.02700888,0.001103427,0.001812177,0.0001259907,0.001936264,0.2028272,0.3556172,0.0007628766,0.3058239,0.1005372],"study_design_scores_gemma":[0.002493471,0.0001332172,0.003310263,0.00006510641,0.00005981314,0.0001356627,0.0003008202,0.5135108,0.2853882,0.0002114683,0.1935252,0.0008659323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867443,0.006208743,0.002302257,0.0002865869,0.001507867,0.0005630924,0.0007847208,0.0006339645,0.0009684158],"genre_scores_gemma":[0.9897899,0.007228983,0.002071721,0.00004733542,0.00004837422,0.0001866982,0.00003018793,0.0001227208,0.0004740604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3106836,"threshold_uncertainty_score":0.9999047,"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."}}