{"id":"W4307897057","doi":"10.1021/cen-10038-scicon4","title":"Nanoprobes spot brain cancer from a blood draw","year":2022,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Magnetic resonance imaging; Brain cancer; Liquid biopsy; Pathology; Brain biopsy; Medicine; Raman spectroscopy; Brain tumor; Biopsy; Biomedical engineering; Computational biology; Nanotechnology; Materials science; Radiology; Biology; Internal medicine; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000362465,0.0004129235,0.0002709435,0.0004437537,0.0002897221,0.000666742,0.0004489594,0.001970801,0.00446078],"category_scores_gemma":[0.0008134352,0.0003854552,0.0003585619,0.0001585027,0.000380665,0.0006583576,0.0005400916,0.001155991,0.002808741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005682934,"about_ca_system_score_gemma":0.0003323567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000897212,"about_ca_topic_score_gemma":0.001557619,"domain_scores_codex":[0.9997312,0.00002834111,0.00001054059,0.00007356343,0.0001125877,0.0000436741],"domain_scores_gemma":[0.9996312,0.0001335223,0.00003571099,0.00002742944,0.0001280947,0.00004395711],"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":[0.0001885481,0.00006272765,0.0002972366,0.0002057871,0.00003567569,0.0003644976,0.00007309378,0.000313037,0.9475164,0.001792197,0.01867738,0.03047349],"study_design_scores_gemma":[0.00006696278,0.0003185678,0.001299621,0.00007637828,0.00004839431,0.0008723909,0.0001406702,0.004694315,0.9208395,0.001064448,0.07053535,0.00004340513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.46213,0.06490504,0.2835089,0.04417798,0.01276293,0.0009156706,0.003953428,0.01246525,0.1151809],"genre_scores_gemma":[0.6603252,0.01760522,0.1785801,0.02616728,0.001104346,0.000600528,0.001552945,0.0009206659,0.1131438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00446078,"threshold_uncertainty_score":0.0149228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004635709450244628,"score_gpt":0.3050021407308867,"score_spread":0.3003664312806421,"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."}}