{"id":"W4388896986","doi":"10.1021/acssensors.3c01624","title":"Electrochemical Aptamer-Based Biosensors for Measurements in Undiluted Human Saliva","year":2023,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saliva; Aptamer; Biosensor; Analyte; Chromatography; Chemistry; Biological fluids; Blood sampling; Nanotechnology; Biomedical engineering; Biochemistry; Materials science; Medicine; Biology; Molecular biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002773906,0.000212403,0.0002203361,0.0002012903,0.00009537513,0.00001722686,0.0001622542,0.0002223883,0.000001164063],"category_scores_gemma":[0.0002014034,0.0002044682,0.0001457358,0.0004796351,0.00009171042,0.00000276477,0.0000407496,0.00009803508,0.000007972368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004093958,"about_ca_system_score_gemma":0.00003440134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001239601,"about_ca_topic_score_gemma":0.00005900786,"domain_scores_codex":[0.998531,0.00006210194,0.0002808349,0.000487963,0.0001836654,0.0004544593],"domain_scores_gemma":[0.9993488,0.00002747739,0.00008839106,0.0003549851,0.000110789,0.00006953058],"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":[0.00007516935,0.00005460595,0.002068201,0.00001271431,0.00004155389,0.000002478576,0.000007599383,0.00003532127,0.9961383,0.00001390873,0.001332913,0.0002172785],"study_design_scores_gemma":[0.0005962213,0.0001910065,0.0009002485,0.00001941735,0.00002585783,0.000002262055,0.00003575072,0.0002277534,0.9944548,0.0001490981,0.003128317,0.0002692898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998609,0.00002598597,0.0004239042,0.000317078,0.00003124492,0.0002733346,0.00001582851,0.0001523276,0.000151298],"genre_scores_gemma":[0.9957131,0.00002335025,0.002845817,0.0002475917,0.0001116627,0.00002713318,0.0005680327,0.00004138155,0.0004219779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002895945,"threshold_uncertainty_score":0.833797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650300086855302,"score_gpt":0.3224333635306817,"score_spread":0.2859303626621287,"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."}}