{"id":"W2166288603","doi":"10.1038/srep02234","title":"Nanosensor dosimetry of mouse blood proteins after exposure to ionizing radiation","year":2013,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Lawrence Berkeley National Laboratory; U.S. Department of Health and Human Services; National Cancer Institute; Biomedical Advanced Research and Development Authority; U.S. Department of Energy; U.S. Department of Defense","keywords":"Biodosimetry; Ionizing radiation; Medicine; Dosimetry; Nanosensor; Radiation exposure; Nuclear medicine; Absorbed dose; Pathology; Materials science; Irradiation; Nanotechnology","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":[0.0003939044,0.0003872917,0.0002479891,0.0004080052,0.0001414702,0.0002305751,0.0002559405,0.0003948742,0.0003631505],"category_scores_gemma":[0.0003061777,0.0001706242,0.0002264216,0.0002050382,0.0002814332,0.0001738476,0.0001785065,0.0005347179,0.0001743271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237955,"about_ca_system_score_gemma":0.0001310693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003712854,"about_ca_topic_score_gemma":0.0005254195,"domain_scores_codex":[0.9997621,0.00003966445,0.00001340736,0.00006882425,0.00008421168,0.0000318114],"domain_scores_gemma":[0.9997517,0.00006789831,0.00009348715,0.00002822781,0.00003761746,0.00002099666],"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":[0.00003709861,0.000006942851,0.0001757178,0.00001049931,0.000003021985,0.000006417009,0.00001687382,0.0001164283,0.9988048,0.00002193357,0.00001580682,0.0007844295],"study_design_scores_gemma":[0.000001852456,0.0001065146,0.001787299,0.000001586013,0.0000074298,0.00002360163,0.000007438222,0.0008344854,0.9969789,0.00002391836,0.0002238217,0.000003097071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9579725,0.001640407,0.03804993,0.000109086,0.00005270132,0.00006292795,0.0004997256,0.0004571634,0.001155535],"genre_scores_gemma":[0.9711174,0.001443683,0.02324321,0.0001493874,0.00002297955,0.0001515488,0.0004705058,0.00008162043,0.003319824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004237955,"threshold_uncertainty_score":0.003074825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004386843535452804,"score_gpt":0.2231569961808395,"score_spread":0.2187701526453867,"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."}}