{"id":"W1991665099","doi":"10.1021/la700701x","title":"Spectroscopically Encoded Microspheres for Antigen Biosensing","year":2007,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta; Steacie Institute for Molecular Sciences; University of Ottawa","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; University of Alberta; University of Ottawa","keywords":"Polymerization; Bead; Immunoassay; Microsphere; Chemistry; Conjugated system; Dispersion polymerization; Antigen; Bioconjugation; Chromatography; Biosensor; Methacrylic acid; Nanotechnology; Combinatorial chemistry; Antibody; Materials science; Chemical engineering; Polymer; Biology; Organic chemistry; Immunology","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":[0.0004688793,0.0004987814,0.0003148147,0.0002523823,0.0001845659,0.000591469,0.0005477557,0.0007980543,0.001164088],"category_scores_gemma":[0.0005529994,0.0002674785,0.000213101,0.0001833386,0.0003376901,0.0005774824,0.0004054563,0.0007585341,0.0008592252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695085,"about_ca_system_score_gemma":0.0002548506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613388,"about_ca_topic_score_gemma":0.0007268507,"domain_scores_codex":[0.9995926,0.00007714615,0.00001716308,0.00008356927,0.0001752428,0.00005423636],"domain_scores_gemma":[0.9997326,0.00008102467,0.00006704011,0.00002826067,0.00005915614,0.00003191383],"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":[0.0000369043,0.00001924934,0.00007049449,0.00007447583,0.000003956878,0.00003911325,0.00001827622,0.0002624787,0.9909155,0.001329799,0.0001707315,0.007059069],"study_design_scores_gemma":[0.00001480199,0.00008994857,0.0001817533,0.000003934089,0.000007375454,0.0001018318,0.000007412029,0.002583694,0.9912072,0.0001986895,0.005592842,0.00001070653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6007317,0.01986001,0.3603752,0.001622236,0.0007704442,0.0003487752,0.0007531081,0.003101569,0.01243704],"genre_scores_gemma":[0.8161623,0.003617576,0.17376,0.0003324377,0.0001545479,0.0001310339,0.000365608,0.0001506667,0.005325788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164088,"threshold_uncertainty_score":0.004132092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848907201145405,"score_gpt":0.2973065135107202,"score_spread":0.2888174414992661,"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."}}