{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003051149,0.000630372,0.0013036,0.001010594,0.0007032667,0.0002085321,0.001285777,0.0008744107,0.0001187434],"category_scores_gemma":[0.007640901,0.0004998549,0.0002410667,0.002595031,0.0008511146,0.0008981606,0.001184108,0.0005679608,0.000002735804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105341,"about_ca_system_score_gemma":0.0002690836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105943,"about_ca_topic_score_gemma":0.0007895056,"domain_scores_codex":[0.9950757,0.0004487179,0.00171642,0.001766236,0.0002865148,0.0007064037],"domain_scores_gemma":[0.9932887,0.002033187,0.001242532,0.002180129,0.001186247,0.00006923143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007004453,0.0006555426,0.07765128,0.0003272188,0.01228542,0.000003367158,0.0002683227,0.0000239272,0.0844204,0.003678077,0.02846472,0.7915213],"study_design_scores_gemma":[0.00614773,0.0007311569,0.01218126,0.0009999718,0.01306324,0.00001912845,0.01800987,0.07725786,0.5971833,0.01250263,0.2590333,0.00287053],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02541449,0.02264799,0.9238949,0.003589436,0.0006902246,0.001471025,0.02181548,0.0003119498,0.0001645137],"genre_scores_gemma":[0.8521339,0.00357032,0.09983472,0.0003331077,0.00003154986,0.00003575627,0.04324578,0.0000588132,0.0007561053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8267193,"threshold_uncertainty_score":0.9997453,"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."}}