{"id":"W2185272193","doi":"10.4155/bio.15.226","title":"2015 White Paper on Recent Issues in Bioanalysis: Focus on New Technologies and Biomarkers (Part 3 – Lba, Biomarkers and Immunogenicity)","year":2015,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Health Canada; Genentech; Angelini Pharma; Bundesinstitut für Arzneimittel und Medizinprodukte; Amgen; Pfizer; U.S. Food and Drug Administration; Bristol-Myers Squibb; Eli Lilly and Company; Agence Nationale de Sécurité du Médicament et des Produits de Santé; Biogen","keywords":"Bioanalysis; Biopharmaceutical; Immunogenicity; Computer science; Nanotechnology; Medicine; Biotechnology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001228941,0.0005206344,0.0009655296,0.001244064,0.0001412084,0.00008964619,0.0003764864,0.0007440275,0.0003672856],"category_scores_gemma":[0.0006267567,0.0003873155,0.000248689,0.001940253,0.0007863593,0.0001328433,0.0002545792,0.0003973584,0.00008998137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001387686,"about_ca_system_score_gemma":0.00008243747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001398,"about_ca_topic_score_gemma":0.0008713178,"domain_scores_codex":[0.996938,0.0005117456,0.0007307391,0.001009675,0.0001610844,0.0006487509],"domain_scores_gemma":[0.9984787,0.0002317333,0.0002352457,0.0007905877,0.0001187052,0.0001450486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002790569,0.0007771153,0.04681677,0.00003248313,0.01181607,0.00007074198,0.0003884001,0.000009848982,0.02026404,0.00112808,0.04622514,0.8696808],"study_design_scores_gemma":[0.007015497,0.002190443,0.01375453,0.0003054908,0.003573297,0.00005313722,0.007753562,0.0001627881,0.0667488,0.005487919,0.8908935,0.002061045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.148418,0.6272829,0.0002236462,0.2054143,0.001548876,0.00154418,0.0002990142,0.0009763981,0.01429272],"genre_scores_gemma":[0.9409353,0.04473338,0.004617158,0.001523984,0.00009122991,0.00005527326,0.00009910887,0.00008220508,0.007862402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8676197,"threshold_uncertainty_score":0.9998579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360566082740423,"score_gpt":0.2941366264752786,"score_spread":0.2605309656478743,"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."}}