{"id":"W4319873452","doi":"10.1016/j.talanta.2023.124342","title":"A highly reusable genosensor for late-life depression diagnosis based on microRNA 184 attomolar detection in human plasma","year":2023,"lang":"en","type":"article","venue":"Talanta","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade Federal de Uberlândia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Chemistry; Human plasma; microRNA; Computational biology; Nanotechnology; Chromatography; Biochemistry; Gene","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":[0.0007063606,0.0008490604,0.0006203478,0.0004012685,0.0002252799,0.0004260378,0.0005642045,0.001244258,0.00167186],"category_scores_gemma":[0.0006798014,0.0004126555,0.0004064239,0.0002062309,0.000318217,0.000352816,0.0006266984,0.0007234917,0.001382489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987726,"about_ca_system_score_gemma":0.0002737961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001168999,"about_ca_topic_score_gemma":0.0003414841,"domain_scores_codex":[0.9994187,0.0001589339,0.00001915481,0.0002001692,0.0001497803,0.00005328448],"domain_scores_gemma":[0.9997302,0.0001283015,0.000044777,0.00002066064,0.00004316169,0.00003294211],"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":[0.0001537677,0.00004195829,0.0004775299,0.00009235929,0.00002366733,0.0001203281,0.00004222008,0.00006285431,0.9904692,0.0001254799,0.0004282098,0.007962506],"study_design_scores_gemma":[0.00004068455,0.0007652129,0.002671287,0.00001554832,0.00007573155,0.00102614,0.00005935536,0.004849043,0.9851726,0.0002930075,0.004982661,0.00004875432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6147631,0.007751384,0.3594986,0.001434657,0.001003449,0.0005257456,0.001410457,0.004681886,0.008930659],"genre_scores_gemma":[0.8323678,0.00228797,0.1489801,0.003249463,0.000261478,0.0006220946,0.0007558796,0.0002315904,0.01124357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00167186,"threshold_uncertainty_score":0.005592883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0142552789738743,"score_gpt":0.2591192033837996,"score_spread":0.2448639244099253,"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."}}