{"id":"W4386853242","doi":"10.1149/ma2023-01532641mtgabs","title":"Electrochemical Biosensors for Clinical Analysis","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Aptamer; Biosensor; Nucleic acid; DNA; Deoxyribozyme; Nanotechnology; Barcode; Computational biology; Molecular biology; Chemistry; Biology; Computer science; Biochemistry; Materials science","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":[0.002978732,0.001495425,0.001617456,0.00214731,0.0005847619,0.002629769,0.002159505,0.003929202,0.01883608],"category_scores_gemma":[0.003897721,0.000719059,0.0009507363,0.001671263,0.001226716,0.002131273,0.001985871,0.005365802,0.02013352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300489,"about_ca_system_score_gemma":0.001054825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005909024,"about_ca_topic_score_gemma":0.000658543,"domain_scores_codex":[0.9962776,0.0009077627,0.0002194803,0.0006380132,0.001755527,0.000201642],"domain_scores_gemma":[0.9984616,0.0004138395,0.0001291867,0.0001709629,0.0007001614,0.0001243899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002707792,0.000224248,0.0008075523,0.004001862,0.0001816426,0.0007123319,0.0002969653,0.001058637,0.1786199,0.09051733,0.1845255,0.5387833],"study_design_scores_gemma":[0.000045671,0.000190623,0.0005221638,0.0005844773,0.00004573433,0.001657021,0.00009249961,0.002112007,0.04616779,0.02080692,0.9276943,0.00008086477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.003412726,0.4288171,0.4111232,0.02829979,0.01891906,0.0006557903,0.002160352,0.004755799,0.1018562],"genre_scores_gemma":[0.08317738,0.2799451,0.4685052,0.0241196,0.009511859,0.001897109,0.003554942,0.0007575606,0.1285314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01883608,"threshold_uncertainty_score":0.06301296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02872469965132988,"score_gpt":0.3513492385226476,"score_spread":0.3226245388713177,"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."}}