{"id":"W4323819391","doi":"10.1101/2023.03.07.531602","title":"An Antibody-Based Molecular Switch for Continuous Biosensing","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Medtronic Foundation; Leona M. and Harry B. Helmsley Charitable Trust; National Science Foundation","keywords":"Biosensor; Modular design; Antibody microarray; Nanotechnology; Antibody; Computer science; Materials science; Chemistry; Biology; Immunology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000421766,0.0003710861,0.0002260452,0.0002657084,0.0001637468,0.0004764982,0.0008114935,0.0006616332,0.001525234],"category_scores_gemma":[0.0003600454,0.0002114041,0.0002168684,0.0001828646,0.000324798,0.0003977506,0.0003151285,0.0008022223,0.0006079641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00045005,"about_ca_system_score_gemma":0.0002284176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003062334,"about_ca_topic_score_gemma":0.0003617002,"domain_scores_codex":[0.9996905,0.00004241591,0.00001742739,0.00008151784,0.0001309977,0.00003723562],"domain_scores_gemma":[0.9998053,0.00007366021,0.00003299882,0.00001379,0.00004520921,0.0000290865],"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":[0.00001740335,0.00002812848,0.00004604554,0.00003883589,0.000005690869,0.00002265547,0.00001011096,0.0002375366,0.995248,0.0009889537,0.0001901977,0.003166493],"study_design_scores_gemma":[0.00002153203,0.0001292672,0.0002182462,0.000003388096,0.00001105995,0.00008128594,0.000004243056,0.0068901,0.9834428,0.000239223,0.008946657,0.00001224578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5566477,0.006054183,0.4179403,0.001226204,0.00152041,0.0003416416,0.0005993801,0.00234106,0.01332909],"genre_scores_gemma":[0.8064377,0.001567513,0.1817897,0.001132187,0.0002368801,0.0002816295,0.0003248616,0.00008913314,0.008140471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001525234,"threshold_uncertainty_score":0.005102396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151016062415051,"score_gpt":0.2850906890726731,"score_spread":0.269989082831168,"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."}}