{"id":"W4396240728","doi":"10.1371/journal.pone.0301418","title":"Interlaboratory comparison of high-throughput protein biomarker assay quantifications for radiation exposure classification","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Institute of Allergy and Infectious Diseases; Irving Medical Center, Columbia University; National Institutes of Health; NIH Office of the Director; Division of Intramural Research, National Institute of Allergy and Infectious Diseases","keywords":"Biodosimetry; Biomarker; Reproducibility; Triage; Medicine; Nuclear medicine; Biomedical engineering; Medical physics; Biology; Chemistry; Irradiation; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03765677,0.001649217,0.001209874,0.00407625,0.001399301,0.003375603,0.001936932,0.002552317,0.001757075],"category_scores_gemma":[0.04559786,0.0009247789,0.001632058,0.002718282,0.002087183,0.0008087623,0.002429307,0.001435611,0.001401018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346439,"about_ca_system_score_gemma":0.001993726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003196963,"about_ca_topic_score_gemma":0.004455303,"domain_scores_codex":[0.9347953,0.02120864,0.00488779,0.01465383,0.02305988,0.001394615],"domain_scores_gemma":[0.9573431,0.01540319,0.004866497,0.00939973,0.01218375,0.0008037129],"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":[0.00469817,0.00178812,0.218676,0.001497349,0.003230658,0.0002629625,0.003805304,0.01282868,0.6437163,0.002751137,0.005337597,0.1014078],"study_design_scores_gemma":[0.0003068055,0.004271191,0.3979253,0.0003192577,0.00158485,0.0008705694,0.000855991,0.03473028,0.5372728,0.002584401,0.01894384,0.0003347588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6126971,0.005153722,0.3577063,0.0007520668,0.001233699,0.003042993,0.005216705,0.004553942,0.009643362],"genre_scores_gemma":[0.8344833,0.0009566059,0.1484395,0.001082972,0.0002625792,0.003374005,0.006677622,0.0006975114,0.004025904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03765677,"threshold_uncertainty_score":0.1991504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0929890589433077,"score_gpt":0.3363527376520654,"score_spread":0.2433636787087577,"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."}}