{"id":"W4307713717","doi":"10.1208/s12248-022-00762-6","title":"Anti-drug Antibody Sample Testing and Reporting Harmonization","year":2022,"lang":"en","type":"article","venue":"The AAPS Journal","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada); Canadian Nuclear Laboratories","funders":"Bill and Melinda Gates Foundation","keywords":"Immunogenicity; Harmonization; Computer science; Scope (computer science); Bioanalysis; Sample (material); Medicine; Chemistry; Antibody; Chromatography; Immunology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00266976,0.00007633357,0.0001695198,0.00004369969,0.001381752,0.00004435852,0.0001511066,0.00003100914,0.0005741476],"category_scores_gemma":[0.002089078,0.00004761189,0.00004572909,0.0001900408,0.0001093389,0.00004487629,0.0001922133,0.0006226924,0.000003251052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001862556,"about_ca_system_score_gemma":0.00003480994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003905145,"about_ca_topic_score_gemma":7.225041e-7,"domain_scores_codex":[0.9987281,0.0004430095,0.0004569383,0.0001187627,0.00004612252,0.000207053],"domain_scores_gemma":[0.9987078,0.0004868687,0.0006109575,0.0001148217,0.00006032537,0.00001924443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004951766,0.0000815408,0.1704361,0.000009754968,0.0001605275,0.00005512081,0.0005310492,0.0000744846,0.7751968,0.0004572511,0.006318237,0.04662967],"study_design_scores_gemma":[0.003673204,0.0009718612,0.5430298,0.0001422936,0.0007767144,0.05065201,0.005694186,0.002419,0.1066491,0.03500079,0.2497904,0.001200551],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872469,0.00312712,0.003712907,0.004355162,0.000801266,0.00009867523,0.00001569625,0.00003507769,0.0006072379],"genre_scores_gemma":[0.9942264,0.00006754744,0.00452121,0.0005882013,0.0000845623,0.000001443943,0.000005851072,0.00000888947,0.0004958845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6685477,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07532404115153642,"score_gpt":0.3393056505763208,"score_spread":0.2639816094247844,"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."}}