{"id":"W1991962456","doi":"10.1006/meth.2000.1039","title":"Surface Plasmon Resonance-Based Immunoassays","year":2000,"lang":"en","type":"review","venue":"Methods","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":322,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Surface plasmon resonance; Analyte; Immunoassay; Nanotechnology; Biosensor; Small molecule; Molecular recognition; Chemistry; Combinatorial chemistry; Materials science; Chromatography; Molecule; Antibody; Nanoparticle; Biology; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001597692,0.002528653,0.002360315,0.002336196,0.00041236,0.001488861,0.00364764,0.002038561,0.002323824],"category_scores_gemma":[0.001074253,0.0007999075,0.0006811649,0.002025755,0.001619189,0.002168469,0.001024419,0.003212141,0.00612006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009857556,"about_ca_system_score_gemma":0.0006444784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040281,"about_ca_topic_score_gemma":0.000940463,"domain_scores_codex":[0.9988515,0.0001558266,0.00004393121,0.0002493184,0.0006266299,0.00007274876],"domain_scores_gemma":[0.9995574,0.0001897378,0.0000388208,0.00003039977,0.0001523239,0.00003133737],"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":[0.0001360016,0.0002693498,0.0001556744,0.006052363,0.00009064122,0.0003426285,0.000114693,0.0008308593,0.07700611,0.01555415,0.04373347,0.8557141],"study_design_scores_gemma":[0.00004430634,0.0001618982,0.0004304353,0.0005977487,0.00006577193,0.0017609,0.00006110119,0.001609683,0.05726441,0.007845455,0.9300787,0.00007956992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001089123,0.9287624,0.0551309,0.001167995,0.003070245,0.000109345,0.0000893049,0.0003992543,0.01018138],"genre_scores_gemma":[0.00715054,0.920112,0.03741987,0.001932995,0.001502997,0.0002100789,0.000246523,0.00006411573,0.03136096],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00364764,"threshold_uncertainty_score":0.008449495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172517940753694,"score_gpt":0.4257930403680562,"score_spread":0.3740678609605192,"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."}}