{"id":"W4244847903","doi":"10.22215/etd/2015-11016","title":"Fumonisin B1 Aptamer Optimization and Progress Towards Mycotoxin Nanoaptasensors","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Aptamer; Ochratoxin A; Mycotoxin; Fumonisin B1; Fumonisin; Detection limit; Chemistry; Oligonucleotide; Nanotechnology; Combinatorial chemistry; Chromatography; DNA; Materials science; Biochemistry; Biology; 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":[0.0004675261,0.0005350995,0.000292213,0.0003233341,0.0001224978,0.0003504718,0.0002032027,0.0003399577,0.0007858655],"category_scores_gemma":[0.0002840301,0.0002157045,0.0001970555,0.0002590199,0.0001633419,0.0002606644,0.000195168,0.000372431,0.0005080228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003772689,"about_ca_system_score_gemma":0.0002024342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006889182,"about_ca_topic_score_gemma":0.001548988,"domain_scores_codex":[0.999721,0.00004009237,0.00001985146,0.00008445158,0.0001044009,0.00003011782],"domain_scores_gemma":[0.9999123,0.00002092846,0.00001308491,0.000007050059,0.00003280598,0.00001382087],"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":[0.00002199608,0.00003247922,0.00007699015,0.00004607831,0.000003008815,0.00001761382,0.00002128853,0.0005532309,0.9910692,0.00009241585,0.00004386441,0.008021912],"study_design_scores_gemma":[0.000004131408,0.0000991246,0.000333487,0.000004232514,0.000003812164,0.00004555174,0.00000934624,0.0008312397,0.995552,0.00004911251,0.003063769,0.000004203346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8657292,0.0175049,0.1080304,0.0004747024,0.00009685539,0.000314308,0.0003297878,0.0003805921,0.007139323],"genre_scores_gemma":[0.8274212,0.01782633,0.1337565,0.0003343279,0.00004852504,0.0001821397,0.0008890899,0.0001239381,0.01941805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007858655,"threshold_uncertainty_score":0.002737284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009450149304459733,"score_gpt":0.2999661311916496,"score_spread":0.2905159818871898,"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."}}