{"id":"W4386949597","doi":"10.1002/chem.202302780","title":"DNA Chimeras as Electrochemical Biosensors for Host‐Guest Measurements in Blood","year":2023,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","keywords":"Biosensor; Host (biology); Nanotechnology; Chemistry; Host–guest chemistry; Molecule; Combinatorial chemistry; DNA; Materials science; Supramolecular chemistry; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005531328,0.0003601365,0.0003873172,0.0001961393,0.00008741301,0.0004588674,0.0005752983,0.0007041036,0.0006968437],"category_scores_gemma":[0.0005595693,0.0002912215,0.0002123064,0.0002131193,0.0002873673,0.00044153,0.0003498876,0.0008568587,0.0003714688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266089,"about_ca_system_score_gemma":0.0002214595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005005224,"about_ca_topic_score_gemma":0.0005307453,"domain_scores_codex":[0.999593,0.0001218716,0.0000224732,0.0001167303,0.0001116892,0.00003431908],"domain_scores_gemma":[0.9997638,0.00006308834,0.00006270224,0.00003069717,0.00003271042,0.00004710454],"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":[0.00004788305,0.00001440555,0.00008457298,0.00002649113,0.000006032961,0.00003292533,0.00001523579,0.0001612971,0.9979106,0.000293761,0.00005605601,0.001350716],"study_design_scores_gemma":[0.000008542806,0.0001049835,0.0002866505,0.000004081727,0.000009120381,0.000165791,0.000008883383,0.003238104,0.9935386,0.00006893567,0.002559043,0.000007255996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8155952,0.006209787,0.1723019,0.0009087403,0.0002682138,0.0001489488,0.0006097315,0.001716106,0.002241408],"genre_scores_gemma":[0.9080634,0.002015333,0.08458859,0.0002364303,0.00002490688,0.0001208703,0.0004059222,0.0001018967,0.004442715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007041036,"threshold_uncertainty_score":0.003095269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007821479742762,"score_gpt":0.274722945561151,"score_spread":0.2546447307637233,"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."}}