{"id":"W3113117872","doi":"10.3390/polym12122983","title":"An In-Silico Pipeline for Rapid Screening of DNA Aptamers against Mycotoxins: The Case-Study of Fumonisin B1, Aflatoxin B1 and Ochratoxin A","year":2020,"lang":"en","type":"article","venue":"Polymers","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aptamer; Microscale thermophoresis; Ochratoxin A; In silico; Aflatoxin; Systematic evolution of ligands by exponential enrichment; Ochratoxin; Oligonucleotide; Mycotoxin; Chemistry; Computational biology; Fumonisin; Fumonisin B1; DNA; Combinatorial chemistry; Biology; Biochemistry; Molecular biology; Food 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":[0.0009091733,0.001391426,0.0009915422,0.0006422529,0.0003283892,0.0008551226,0.0008611837,0.001040884,0.003620558],"category_scores_gemma":[0.001351405,0.0005809458,0.001089548,0.0002932831,0.0002156774,0.0003465175,0.0004751006,0.0005581811,0.001038729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485916,"about_ca_system_score_gemma":0.001143719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780341,"about_ca_topic_score_gemma":0.003480883,"domain_scores_codex":[0.9996935,0.0001038012,0.00002018619,0.00007058678,0.00007483867,0.00003715199],"domain_scores_gemma":[0.9994583,0.0003756017,0.00003470491,0.00002761173,0.0000709528,0.00003284353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009816309,0.0007483432,0.01038432,0.001195451,0.0006279038,0.001055192,0.0001634708,0.7667717,0.1255342,0.003625202,0.003154056,0.08575857],"study_design_scores_gemma":[0.00008724241,0.0002732926,0.0007428321,0.00001753268,0.0001159585,0.0001515658,0.00002508353,0.9729126,0.02165333,0.000847129,0.003158398,0.00001510912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2252244,0.0009472742,0.7487774,0.0004359521,0.0001088663,0.0005264951,0.002966233,0.01547967,0.005533691],"genre_scores_gemma":[0.559346,0.0006574293,0.4290931,0.0002654006,0.00003147248,0.0007605787,0.00546751,0.0006126799,0.003765788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003620558,"threshold_uncertainty_score":0.01211202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976943473585222,"score_gpt":0.2860752738255742,"score_spread":0.266305839089722,"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."}}