{"id":"W3001416299","doi":"10.1039/c9lc01150a","title":"Plasmonic nucleotide hybridization chip for attomolar detection: localized gold and tagged core/shell nanomaterials","year":2020,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stillwater (Canada)","funders":"Oklahoma Center for the Advancement of Science and Technology; College of Arts and Sciences, Oklahoma State University","keywords":"Plasmon; Nanotechnology; Nanomaterials; Colloidal gold; DNA microarray; Nanoparticle; Chemistry; Core (optical fiber); Chip; Shell (structure); Materials science; Optoelectronics; Gene; Biochemistry; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001237298,0.0001791184,0.0002135367,0.0000298694,0.00009138996,0.00004036869,0.00008802301,0.0001309923,0.00000392319],"category_scores_gemma":[0.0001725733,0.0001583076,0.00008595674,0.0001025594,0.00005949591,0.000004410549,0.00004825606,0.00005578624,0.000003448136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001121988,"about_ca_system_score_gemma":0.00001749259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003288786,"about_ca_topic_score_gemma":0.00001046427,"domain_scores_codex":[0.9990488,0.00004566955,0.0002154663,0.0004227025,0.00008494038,0.0001824312],"domain_scores_gemma":[0.99952,0.00001817827,0.0001178631,0.0001929214,0.00005840799,0.00009262386],"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":[0.0004514223,0.00002378156,0.0001045691,0.00002933401,0.00004062366,0.000002141167,0.00001467202,0.00001044892,0.9959369,0.00004917475,0.0004396679,0.002897279],"study_design_scores_gemma":[0.0007079047,0.0006284365,0.0001141681,0.00001736214,0.00003836347,0.000009706184,0.00001410574,0.0007654376,0.9762584,0.0001144993,0.02112799,0.000203619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933237,0.0001188422,0.005553402,0.0003169534,0.00007074579,0.0003115967,0.00006125987,0.00009851937,0.0001450014],"genre_scores_gemma":[0.994468,0.000161767,0.003352663,0.001411263,0.0002427807,0.00001879278,0.0001626306,0.00003006897,0.0001520233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02068832,"threshold_uncertainty_score":0.6455597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699908179064393,"score_gpt":0.2564390143838791,"score_spread":0.2394399325932352,"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."}}