{"id":"W4386134243","doi":"10.1016/j.talanta.2023.125107","title":"Iodinated organic molecule as tag for inductively coupled Plasma-mass spectrometry aptamer assays","year":2023,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Carnot Santé Animale; Institut Carnot PolyNat; Agence Nationale de la Recherche; LABoratoires d’EXcellence ARCANE","keywords":"Aptamer; Chemistry; Inductively coupled plasma mass spectrometry; Detection limit; Mass spectrometry; Chromatography; Small molecule; Molecule; Combinatorial chemistry; Analytical Chemistry (journal); Biochemistry; Molecular biology; Organic chemistry","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":[0.0008855842,0.0008294751,0.0004619267,0.0005851444,0.0002948956,0.0005667877,0.001055123,0.0008749753,0.001295696],"category_scores_gemma":[0.000733632,0.0004682883,0.0003685623,0.0005312701,0.0003996327,0.0004113358,0.0005427625,0.001113514,0.001543913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601294,"about_ca_system_score_gemma":0.0003850895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004520669,"about_ca_topic_score_gemma":0.00136046,"domain_scores_codex":[0.9989925,0.0001601545,0.00006383126,0.0002846388,0.0003187196,0.000180191],"domain_scores_gemma":[0.9996394,0.0001143454,0.00005230001,0.00006352009,0.00008606924,0.00004432341],"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":[0.00003185863,0.00001008827,0.00005960314,0.00002565363,0.000004943534,0.00002135288,0.00001809748,0.00005372159,0.9984659,0.0001088307,0.00005832108,0.001141514],"study_design_scores_gemma":[0.00000286187,0.00004711257,0.0002289409,0.000001428924,0.000005994073,0.00009519124,0.000007316605,0.0008751274,0.9968246,0.000075066,0.001832073,0.000004360079],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4381737,0.003265092,0.5462362,0.0004383355,0.0002815691,0.0003731572,0.0009706469,0.003009482,0.007251907],"genre_scores_gemma":[0.7333346,0.002049328,0.2474374,0.0006259664,0.00007397129,0.0003771027,0.001961234,0.0003192887,0.01382102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001295696,"threshold_uncertainty_score":0.004683495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233030544520997,"score_gpt":0.2746163337596904,"score_spread":0.2622860283144804,"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."}}