{"id":"W2057193347","doi":"10.1364/boe.5.004101","title":"Trace cancer biomarker quantification using polystyrene-functionalized gold nanorods","year":2014,"lang":"en","type":"article","venue":"Biomedical Optics Express","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia","keywords":"Polystyrene; Nanorod; Materials science; Detection limit; Nanotechnology; Biomarker; Raman scattering; Cancer biomarkers; Cancer; Raman spectroscopy; Chemistry; Chromatography; Polymer; Medicine; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004779975,0.0001452491,0.0002030699,0.00006331391,0.0001780486,0.0001043454,0.0002746481,0.0001165163,0.0008187703],"category_scores_gemma":[0.00009167549,0.0001177178,0.00007488243,0.0002275318,0.0002301555,0.0001154026,0.00005678525,0.00005625013,0.0001130266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003965507,"about_ca_system_score_gemma":0.00005833022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001410257,"about_ca_topic_score_gemma":0.00000422698,"domain_scores_codex":[0.9984327,0.00009990639,0.0003718401,0.000373847,0.0004121348,0.0003095922],"domain_scores_gemma":[0.9990617,0.0001493147,0.0001336259,0.0003582477,0.00008663686,0.0002104442],"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":[0.0000194899,0.0001612944,0.00008074818,0.00001482465,0.000007800985,3.802763e-7,0.00004099109,0.00004821712,0.985446,0.006468676,0.000944531,0.006767013],"study_design_scores_gemma":[0.000633003,0.00003313746,0.001484914,0.00007697144,0.00007317261,0.000005323351,0.00005170859,0.03891732,0.8097205,0.0005084695,0.1481611,0.0003344174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705147,0.0003275207,0.02678412,0.001005806,0.0006359154,0.0001520369,0.00005984393,0.0001017919,0.0004182722],"genre_scores_gemma":[0.9902592,0.00003605576,0.008705536,0.0001331324,0.0002760256,0.00007120887,0.00001565428,0.00001881875,0.0004843469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757256,"threshold_uncertainty_score":0.896496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047316095933229,"score_gpt":0.3016603553286223,"score_spread":0.2543442593953933,"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."}}