{"id":"W40733668","doi":"10.1096/fasebj.20.4.a100-a","title":"Multiplex Biomarker Detection by ICP‐MS","year":2006,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Ontario Genomics Institute","keywords":"Multiplex; Biomarker; Computational biology; Biology; Bioinformatics; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000146861,0.0000836967,0.00006728104,0.00004101059,0.0001646033,0.00007340274,0.00006977461,0.0000551118,0.0001076536],"category_scores_gemma":[0.000008239634,0.00005454634,0.00007454477,0.0001196963,0.00002888044,0.00007036103,0.000006101092,0.0002416355,0.00006837745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004633879,"about_ca_system_score_gemma":0.000002000688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004916298,"about_ca_topic_score_gemma":0.00003023041,"domain_scores_codex":[0.9994807,0.00002517635,0.0001497799,0.00005470965,0.0001180733,0.0001715392],"domain_scores_gemma":[0.9998058,0.00002385538,0.0000250213,0.00007782132,0.00002001918,0.00004745479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007239471,0.000008846087,0.00006747372,0.000002829497,0.00001846555,0.000003499191,0.000006759136,0.001619039,0.9720566,0.000007696411,0.004183179,0.02201838],"study_design_scores_gemma":[0.0003384915,0.0000279364,0.005341011,0.000009905427,0.00002869742,0.0002385958,0.00002502157,0.2142467,0.7675486,0.0005570102,0.01148889,0.0001491618],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9561678,0.0003782999,0.03960871,0.0001505551,0.0004764494,0.00004571226,0.00000622502,0.0001287837,0.003037518],"genre_scores_gemma":[0.9990802,0.00003590642,0.00005027563,0.00002498345,0.0003467058,0.000001032326,0.000001379474,0.00001535293,0.0004441538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2126277,"threshold_uncertainty_score":0.2224335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008140801214737365,"score_gpt":0.192939639816496,"score_spread":0.1847988386017586,"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."}}