{"id":"W2098380717","doi":"10.1016/j.ab.2008.11.021","title":"A global benchmark study using affinity-based biosensors","year":2008,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bio-Rad (Canada); National Research Council Canada; Biotechnology Research Institute","funders":"National Center for Research Resources; National Cancer Institute","keywords":"Biosensor; Analyte; Chemistry; Chromatography; Dissociation constant; Outlier; Analytical Chemistry (journal); Biochemistry; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251768,0.0002009373,0.0003427546,0.00004807266,0.0001745781,0.00001450333,0.0001390593,0.0001260499,0.0005391199],"category_scores_gemma":[0.0002034512,0.00016206,0.000209352,0.0005210197,0.0003342606,0.00002044477,0.00008265809,0.0002356096,0.00007422594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294252,"about_ca_system_score_gemma":0.0003823232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002100246,"about_ca_topic_score_gemma":0.000003715445,"domain_scores_codex":[0.9982522,0.00003424284,0.0002760169,0.0003998977,0.0006187814,0.0004188958],"domain_scores_gemma":[0.9989533,0.00008086297,0.00003735092,0.0003516294,0.0001459902,0.0004308612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001087029,0.003534134,0.9642836,0.0001980859,0.0003807595,0.003528459,0.00004830216,0.00002992973,0.02148366,0.00006411525,0.005000951,0.000360961],"study_design_scores_gemma":[0.01409768,0.004687018,0.6268454,0.0004876445,0.001620981,0.004196365,0.001673957,0.0691325,0.2652176,0.000254621,0.009250648,0.002535575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888078,0.00009783911,0.00002166815,0.0007414687,0.00002783278,0.0001743452,0.00003561048,0.00004277579,0.01005066],"genre_scores_gemma":[0.9970737,0.000009098839,0.0007652484,0.0003903903,0.0002217242,0.000003478472,0.00004281259,0.00001061343,0.001482918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3374382,"threshold_uncertainty_score":0.6608616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06484975385025947,"score_gpt":0.3653011379092593,"score_spread":0.3004513840589998,"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."}}