{"id":"W4389993509","doi":"10.1021/acsnano.3c09311","title":"High-Performance Plasma Biomarker Panel for Alzheimer’s Disease Screening Using a Femtomolar-Level Label-Free Biosensing System","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Biomarker; Dementia; Medicine; Oncology; Receiver operating characteristic; Amyloid (mycology); Positron emission tomography; Magnetic resonance imaging; Cerebrospinal fluid; Disease; Internal medicine; Pathology; Chemistry; Nuclear medicine; Biochemistry; Radiology","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":[0.0006384024,0.0005276733,0.0003919075,0.0006132448,0.0001949705,0.0003696796,0.0003036984,0.0007597408,0.000598007],"category_scores_gemma":[0.0008073185,0.0001546822,0.0003276874,0.0003433322,0.0001408537,0.0002515803,0.0002719349,0.0003315292,0.0003416732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002655484,"about_ca_system_score_gemma":0.0002228524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004133715,"about_ca_topic_score_gemma":0.0009983615,"domain_scores_codex":[0.9995071,0.0001289197,0.00002415662,0.0001290914,0.0001799917,0.00003069426],"domain_scores_gemma":[0.9998084,0.00005536229,0.00003366267,0.00001891394,0.00006608208,0.00001768699],"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":[0.0006025053,0.0002890229,0.0151322,0.0001153562,0.000129298,0.0001665251,0.0000555862,0.003220063,0.891893,0.0004780195,0.001368203,0.08655018],"study_design_scores_gemma":[0.0001007309,0.001977705,0.04747405,0.00003907634,0.0002879992,0.001466263,0.00006074588,0.1403971,0.7987952,0.001131011,0.008132719,0.0001374318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7199939,0.002689272,0.2685618,0.0005274522,0.0002049324,0.000386795,0.00144017,0.001787107,0.004408453],"genre_scores_gemma":[0.838779,0.0004132297,0.157875,0.0005325329,0.00006377425,0.0002099047,0.000573068,0.00002127791,0.001532191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007597408,"threshold_uncertainty_score":0.003376186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1720169203782494,"score_gpt":0.3457650136467529,"score_spread":0.1737480932685034,"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."}}