{"id":"W2020992299","doi":"10.1002/mabi.201100435","title":"Surface Plasmon Resonance Biosensors Incorporating Gold Nanoparticles","year":2012,"lang":"en","type":"review","venue":"Macromolecular Bioscience","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Biomolecule; Biosensor; Surface plasmon resonance; Nanotechnology; Colloidal gold; Nanoparticle; Macromolecule; Materials science; Chemistry","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":[0.0003902871,0.001389081,0.001186925,0.001720375,0.0002108625,0.0006915244,0.001139034,0.001373626,0.001278752],"category_scores_gemma":[0.0003016732,0.0004387268,0.0004464867,0.001215591,0.0004165028,0.0009493225,0.0005846195,0.001385273,0.003890431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005002982,"about_ca_system_score_gemma":0.0003536752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004500302,"about_ca_topic_score_gemma":0.0005084591,"domain_scores_codex":[0.999711,0.00002810197,0.00001687929,0.00007290168,0.0001447234,0.00002638305],"domain_scores_gemma":[0.9999025,0.00002975929,0.00001541583,0.000005326446,0.00003689185,0.00001010569],"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":[0.00005264217,0.0001769721,0.0001662552,0.009939004,0.00008118727,0.0005919647,0.00009937221,0.0009173969,0.1967619,0.007158857,0.01472275,0.7693316],"study_design_scores_gemma":[0.0000137294,0.0002606711,0.0004959455,0.0008679227,0.00006375294,0.002797649,0.00004885255,0.0006278703,0.08084359,0.002074326,0.9118578,0.00004788651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002159956,0.9787698,0.008190645,0.0003901533,0.0007984657,0.00004541849,0.00004392496,0.000172694,0.009428993],"genre_scores_gemma":[0.01118543,0.967198,0.007331852,0.000558596,0.0003521483,0.00005717323,0.0001048815,0.0000184399,0.01319338],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001720375,"threshold_uncertainty_score":0.004277885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250748498096109,"score_gpt":0.3139917712792684,"score_spread":0.2814842862983072,"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."}}