{"id":"W4413287453","doi":"10.1080/17576180.2025.2529119","title":"17th GCC Closed Forum: Integrative Bioanalysis, Patient-centric Sampling, Emerging Technologies, Data Integrity, Sample Reconciliation, Discrepancies of ELISpot Data, Cross-validation Harmonization, Ultrasensitive Platforms for ADA Assays, Remote Regulatory Assessments, Shedding Assays by PCR, and Biomarker Tissue Assays","year":2025,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada); Grand Challenges Canada; Natural Sciences and Engineering Research Council of Canada; Altasciences (Canada)","funders":"","keywords":"Bioanalysis; Harmonization; ELISPOT; Sample (material); Sampling (signal processing); Computer science; Medicine; Chemistry; Immunology; Chromatography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04743951,0.002241697,0.001277865,0.002104346,0.006999303,0.01196111,0.003261377,0.02448175,0.04447123],"category_scores_gemma":[0.0282733,0.0007828164,0.001716781,0.0010976,0.006223707,0.00353445,0.007912572,0.01278117,0.01299954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0090263,"about_ca_system_score_gemma":0.01714906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239385,"about_ca_topic_score_gemma":0.02307517,"domain_scores_codex":[0.9829335,0.006366292,0.001019785,0.001355203,0.005682486,0.002642677],"domain_scores_gemma":[0.9589264,0.01595117,0.002844704,0.001927227,0.01103169,0.009318782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000204913,0.0001236928,0.0006494233,0.0004026433,0.00001756373,0.0008751915,0.0008311021,0.0004265881,0.00246084,0.009044537,0.9442083,0.04075519],"study_design_scores_gemma":[0.00002345876,0.00007690086,0.001069946,0.0004844814,0.000009086487,0.0001612342,0.0005132254,0.0002498536,0.000706733,0.002398318,0.9942796,0.00002717732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0131034,0.03155689,0.03098559,0.4427185,0.2616246,0.003211244,0.003315421,0.001868553,0.2116156],"genre_scores_gemma":[0.04712306,0.008219968,0.02838508,0.1925511,0.08525709,0.002010126,0.003697018,0.001972646,0.6307839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04743951,"threshold_uncertainty_score":0.2508872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06044166139963062,"score_gpt":0.3821770751259209,"score_spread":0.3217354137262902,"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."}}