{"id":"W1968354334","doi":"10.1021/ac101956e","title":"Microfluidic Measurement of Antibody−Antigen Binding Kinetics from Low-Abundance Samples and Single Cells","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Chemistry; Antigen; Kinetics; Surface plasmon resonance; Receptor–ligand kinetics; Antibody; Microfluidics; Fluorescence; Biophysics; Chromatography; Analytical Chemistry (journal); Molecular biology; Nanotechnology; Biochemistry; Nanoparticle; Immunology; Materials science","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":[0.0004973863,0.0003336291,0.0005394683,0.0003517875,0.0002541336,0.0006236067,0.0004706059,0.0005062242,0.0007292896],"category_scores_gemma":[0.0007334662,0.0002210043,0.000189371,0.0003096761,0.0002450141,0.0003264663,0.0002767143,0.0005858704,0.0003233964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007235993,"about_ca_system_score_gemma":0.0004004574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009600295,"about_ca_topic_score_gemma":0.001450547,"domain_scores_codex":[0.9995159,0.00004267338,0.00003922194,0.0001332379,0.0002011244,0.00006782891],"domain_scores_gemma":[0.9995679,0.0002043677,0.00007098637,0.00004155005,0.00006714057,0.00004801452],"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":[0.0000311444,0.00002788996,0.0004111856,0.00004686333,0.00000734845,0.00001301192,0.00002330056,0.0003147763,0.9959437,0.0001895821,0.0001140702,0.002877139],"study_design_scores_gemma":[0.00001805187,0.0001232058,0.002769239,0.000005974953,0.0000161437,0.0000605153,0.00001283742,0.01341719,0.9810239,0.0002277455,0.002312375,0.00001289993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8090498,0.002745297,0.1826928,0.0003127804,0.0002048895,0.0002508582,0.001540051,0.0008221807,0.002381445],"genre_scores_gemma":[0.8701368,0.001887806,0.1220257,0.0002794093,0.0001092336,0.0006576149,0.001246213,0.00006042788,0.003596635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009600295,"threshold_uncertainty_score":0.005250096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058568602990864,"score_gpt":0.299586839553357,"score_spread":0.2590011535234484,"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."}}