{"id":"W1971817944","doi":"10.3390/ijms11124864","title":"Screening and Initial Binding Assessment of Fumonisin B1 Aptamers","year":2010,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fumonisin; Aptamer; Systematic evolution of ligands by exponential enrichment; Fumonisin B1; Mycotoxin; SELEX Aptamer Technique; Oligonucleotide; Solid phase extraction; Fusarium; Chromatography; High-performance liquid chromatography; Chemistry; Biology; Computational biology; Biochemistry; Food science; Molecular biology; DNA; Botany; Gene","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":[0.0005188375,0.00006724089,0.0001000676,0.0001598698,0.0000444164,0.00004363303,0.0002867708,0.00004788133,0.000002253268],"category_scores_gemma":[0.00009231477,0.00005336238,0.00008547025,0.00008384157,0.0003231768,0.00001317731,0.00008340701,0.0001129638,4.719962e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004263084,"about_ca_system_score_gemma":0.00007745947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004509908,"about_ca_topic_score_gemma":0.000005126115,"domain_scores_codex":[0.9991465,0.00002848917,0.0002401546,0.0001234889,0.0003794344,0.00008188533],"domain_scores_gemma":[0.9993345,0.00001376027,0.0003028794,0.00006244629,0.000244395,0.00004208789],"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":[0.000012281,0.00001845316,0.002717491,9.692577e-7,0.00005713302,0.00001549829,0.000008057254,0.00002375113,0.9803354,0.0002961931,0.00001034056,0.0165044],"study_design_scores_gemma":[0.0002040337,0.000248023,0.001975217,0.0000281503,0.00001745746,0.000198256,0.0001156797,0.0002594333,0.9960631,0.0002093355,0.0006036332,0.00007771769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796672,0.00005913387,0.01926389,0.0003017001,0.000200506,0.00002014742,0.000005342226,0.000002331035,0.0004797629],"genre_scores_gemma":[0.9197425,0.00006775369,0.07999304,0.00008588214,0.00009748784,2.154917e-7,0.000002176621,0.000003333188,0.000007616858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06072915,"threshold_uncertainty_score":0.2176055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467803198655416,"score_gpt":0.3614818897924131,"score_spread":0.346803857805859,"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."}}