{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005441694,0.0001501527,0.0008655069,0.0001436349,0.0001528109,0.00001584085,0.0001437025,0.00006367059,0.00004784928],"category_scores_gemma":[0.001684566,0.00009856594,0.0007573082,0.001023145,0.0001835162,0.00006111449,0.0001371105,0.0005372162,0.000001575911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000188965,"about_ca_system_score_gemma":0.0004773339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002900878,"about_ca_topic_score_gemma":0.00003224286,"domain_scores_codex":[0.9957318,0.001417494,0.001406513,0.0002353891,0.001036779,0.0001720406],"domain_scores_gemma":[0.9960379,0.0007146908,0.001345353,0.0003805229,0.001334294,0.0001872467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003742033,0.004415933,0.955561,0.0000236563,0.006753223,0.00005680279,0.0005711471,0.00115834,0.02685474,0.000008592498,0.001067987,0.003154319],"study_design_scores_gemma":[0.008479106,0.0008659221,0.9308122,0.00004952988,0.01292918,0.00003025225,0.0009433603,0.001850735,0.04185225,0.00001514723,0.002113842,0.00005844287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956775,0.002450063,0.00002750468,0.001234363,0.0002357918,0.0002275049,0.0001094272,0.000004919571,0.00003292105],"genre_scores_gemma":[0.9983598,0.0003314844,0.0004915806,0.0006047967,0.0001512076,0.00001211584,0.000008686849,0.00001194509,0.00002839126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02474883,"threshold_uncertainty_score":0.4019402,"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."}}