{"id":"W2022425145","doi":"10.1016/j.ab.2008.04.019","title":"At-line quantification of bioactive antibody in bioreactor by surface plasmon resonance using epitope detection","year":2008,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Bioreactor; Surface plasmon resonance; Biosensor; Chromatography; Blot; Chemistry; Antibody; Densitometry; Materials science; Biochemistry; Biology; Nanotechnology; Nanoparticle; Immunology; Optics; Physics","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":[0.0007127353,0.0006359321,0.0006614522,0.000376839,0.0003318906,0.0006237464,0.0007146063,0.0007865787,0.0006857704],"category_scores_gemma":[0.0005216947,0.0003453697,0.000314954,0.0003098737,0.0002626051,0.0006259898,0.0002888341,0.001007523,0.0009361611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004461581,"about_ca_system_score_gemma":0.0004056687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006496329,"about_ca_topic_score_gemma":0.001036205,"domain_scores_codex":[0.9993663,0.0001276815,0.0000322087,0.0001660202,0.0002100388,0.00009781925],"domain_scores_gemma":[0.9995754,0.0001392336,0.00004384121,0.00005568241,0.0001340105,0.00005171465],"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":[0.00005920621,0.00002343108,0.00008912698,0.00001043231,0.000002044394,0.000009264306,0.00001245612,0.0000321016,0.9987102,0.00002750403,0.00003458533,0.0009897602],"study_design_scores_gemma":[0.000007497124,0.0001220799,0.0005316784,0.000001900809,0.000009357847,0.00004243766,0.000009668599,0.001924604,0.9969853,0.0000471114,0.0003140782,0.000004235014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862555,0.001179365,0.1091674,0.0002503518,0.0001175393,0.00009060514,0.000303514,0.0008484181,0.001787185],"genre_scores_gemma":[0.9066994,0.0009601755,0.08524942,0.0004091889,0.00008440517,0.0001828304,0.0008448727,0.0001603283,0.005409292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007865787,"threshold_uncertainty_score":0.003769338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04880866686606009,"score_gpt":0.3516720540836593,"score_spread":0.3028633872175992,"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."}}