{"id":"W4295012317","doi":"10.1016/j.actbio.2022.09.001","title":"A universal monoclonal antibody-aptamer conjugation strategy for selective non-invasive bioparticle isolation from blood on a regenerative microfluidic platform","year":2022,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"Sanming Project of Medicine in Shenzhen; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Science, Technology and Innovation Commission of Shenzhen Municipality; Canada Research Chairs","keywords":"Aptamer; Monoclonal antibody; Microfluidics; Conjugate; Materials science; Antibody; Nanotechnology; Molecular biology; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009238742,0.0002328637,0.0002227692,0.0001423393,0.0002848071,0.00007809133,0.0001658521,0.0001255943,0.00006771187],"category_scores_gemma":[0.00001459727,0.0002367031,0.00006517617,0.0002449373,0.00007261263,0.000172759,0.00007075052,0.00008867357,0.00001342514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788604,"about_ca_system_score_gemma":0.00006153199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229957,"about_ca_topic_score_gemma":0.000009098447,"domain_scores_codex":[0.9989642,0.00003121184,0.0002493854,0.0003205017,0.0001324514,0.0003022394],"domain_scores_gemma":[0.9995559,0.00005349476,0.00008787851,0.0002013015,0.00006068138,0.00004067298],"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":[0.0002487672,0.00006235124,0.00009524322,0.00001388599,0.0001500801,0.000009178405,0.0005376955,0.00004066612,0.9837943,0.0002259691,0.01459029,0.0002315421],"study_design_scores_gemma":[0.001167781,0.0006002529,0.0005137993,0.00001921173,0.00007235483,0.000009994075,0.000874116,0.003622115,0.9914721,0.0005147503,0.0008420846,0.0002914612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953504,0.0001747014,0.001657788,0.0001349674,0.0007841346,0.000470199,0.0009291327,0.0004488863,0.00004984253],"genre_scores_gemma":[0.9981104,0.00008391349,0.0007269087,0.00004150616,0.0001217869,0.00003574693,0.0008056153,0.00003875779,0.0000353639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374821,"threshold_uncertainty_score":0.9652474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957946988585749,"score_gpt":0.2351839690767797,"score_spread":0.2156044991909222,"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."}}