{"id":"W4320487164","doi":"10.1016/j.trac.2023.116965","title":"Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives","year":2023,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Salivary Gland Disorders and Functions","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saliva; Analyte; Aptamer; Biomolecule; Computer science; Nanotechnology; Biochemical engineering; Chemistry; Materials science; Chromatography; Engineering; Biology; Biochemistry; Molecular biology","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":[0.0001235625,0.000124058,0.0003349279,0.0002036311,0.00001426824,0.000005647521,0.00003618,0.0001299307,0.0001236632],"category_scores_gemma":[0.0001171622,0.0001112834,0.0000757441,0.0008774542,0.0001944728,0.00002674012,0.00002380237,0.0002602959,0.000001850118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003934541,"about_ca_system_score_gemma":0.00003003113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001388779,"about_ca_topic_score_gemma":0.00001806201,"domain_scores_codex":[0.9990329,0.00001152328,0.0002483774,0.000298942,0.0001541481,0.0002540823],"domain_scores_gemma":[0.9995992,0.00008724709,0.00003023681,0.000157202,0.00002975136,0.00009640619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002265126,0.004125658,0.7828029,0.002202004,0.0006716138,0.001133384,0.005837191,0.00001846371,0.08568045,0.004379043,0.00317987,0.1077043],"study_design_scores_gemma":[0.004134222,0.0001975541,0.9555306,0.0003453218,0.000222175,0.0001489427,0.007575982,0.01980939,0.009934005,0.001332228,0.0003582113,0.0004113819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678035,0.004788289,0.000005653123,0.003637136,0.000007218103,0.00004019213,0.000003861542,0.00006024199,0.02365393],"genre_scores_gemma":[0.9984497,0.0007859081,0.0001525868,0.00001162826,0.00005477979,0.000002709238,0.00003843453,0.00001171086,0.0004925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1727277,"threshold_uncertainty_score":0.4538007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368941172681981,"score_gpt":0.3125280283094022,"score_spread":0.2688386165825823,"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."}}