{"id":"W4285590402","doi":"10.1002/jcla.24595","title":"Multi‐center evaluation of the highly sensitive Abbott <scp>ARCHITECT</scp> and Alinity thyroglobulin chemiluminescent microparticle immunoassay","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Laboratory Analysis","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Thyroglobulin; Chemiluminescent immunoassay; Roche Diagnostics; Immunoassay; Chemistry; Medicine; Thyroid carcinoma; Microparticle; Molecular biology; Chromatography; Internal medicine; Thyroid; Immunology; Physics; Antibody; Biology","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":[0.006982332,0.0007380325,0.0004485139,0.0008100955,0.0004063172,0.0007863303,0.0006159724,0.0005888675,0.0006151561],"category_scores_gemma":[0.005056684,0.0003758742,0.0004611012,0.0006376888,0.0005701646,0.0004251514,0.0007394482,0.0007206852,0.0003762475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006868241,"about_ca_system_score_gemma":0.0006424629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001812758,"about_ca_topic_score_gemma":0.001405746,"domain_scores_codex":[0.9944693,0.002358191,0.0003092432,0.001370415,0.001287299,0.0002054977],"domain_scores_gemma":[0.9944813,0.001493398,0.001095646,0.0006249887,0.001761236,0.000543457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006935374,0.001396387,0.9037484,0.00009501343,0.0006373431,0.0001661943,0.0007324383,0.001368428,0.05059815,0.0001394857,0.0006121713,0.03357057],"study_design_scores_gemma":[0.0005617071,0.01406705,0.9453803,0.00001988894,0.0004111191,0.001261012,0.0002446416,0.007705614,0.02867687,0.00006650869,0.00153493,0.00007028443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957255,0.0001880753,0.003348319,0.00003096319,0.00001652202,0.00008816221,0.0001648069,0.00006855873,0.0003690019],"genre_scores_gemma":[0.9950172,0.00003101385,0.004185824,0.00005183866,0.00001661853,0.00007896736,0.0004530992,0.00001526652,0.0001501115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006982332,"threshold_uncertainty_score":0.03692651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04156067669956803,"score_gpt":0.3653965596910337,"score_spread":0.3238358829914657,"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."}}