{"id":"W2000054138","doi":"10.1021/ac9010759","title":"Antibody−Antigen Exchange Equilibria in a Field of an External Force: Design of Reagentless Biosensors","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Abbott (Canada)","funders":"Division of Chemistry; National Science Foundation","keywords":"Chemistry; Analyte; Antigen; Biosensor; Nanotechnology; Superparamagnetism; Microfluidics; Immunoassay; Antibody; Chromatography; Magnetic field; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076621,0.0005464033,0.0005842731,0.0004116638,0.0002381604,0.0007702535,0.00189531,0.0009250327,0.0004679557],"category_scores_gemma":[0.0009387992,0.0006133564,0.000252486,0.0001742058,0.0007456921,0.0009292649,0.0004053065,0.0005336877,0.000477207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043301,"about_ca_system_score_gemma":0.0003580354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002061821,"about_ca_topic_score_gemma":0.0003782948,"domain_scores_codex":[0.9993831,0.0001234599,0.00003438099,0.0001605117,0.0002499202,0.00004853618],"domain_scores_gemma":[0.9996685,0.0001109103,0.00008279514,0.00002250325,0.00006500053,0.00005035212],"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":[0.00005708239,0.00004762817,0.0001105013,0.00007063593,0.000006900995,0.00004221655,0.00003884089,0.0009882401,0.9905987,0.001863515,0.0000544401,0.006121364],"study_design_scores_gemma":[0.00007413728,0.0005887126,0.0002292378,0.000006817258,0.00001944513,0.0001395746,0.00001807278,0.03405274,0.9599168,0.0005779337,0.004348618,0.00002790848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5111344,0.003190322,0.4810854,0.0006519996,0.0002166617,0.0004572899,0.00008166718,0.0007765463,0.002405714],"genre_scores_gemma":[0.6978704,0.001629158,0.2962592,0.0003239827,0.00009333407,0.0003939946,0.00009015906,0.00006256724,0.00327717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00189531,"threshold_uncertainty_score":0.005693793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468280709383796,"score_gpt":0.336374962697827,"score_spread":0.3216921556039891,"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."}}