{"id":"W2105359570","doi":"10.1002/bit.25581","title":"Hi‐Fi SELEX: A high‐fidelity digital‐PCR based therapeutic aptamer discovery platform","year":2015,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Computational biology; SELEX Aptamer Technique; Chemistry; Oligonucleotide; Combinatorial chemistry; Computer science; Nanotechnology; DNA; Biology; Molecular biology; RNA; Materials science; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009405391,0.0006537454,0.0006378976,0.0003634246,0.0002404278,0.001235122,0.001224322,0.0007629912,0.002716574],"category_scores_gemma":[0.0005221181,0.0003611773,0.0003511939,0.0002350202,0.0006372419,0.0006269944,0.0008088463,0.00120703,0.00167829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003920937,"about_ca_system_score_gemma":0.0003269534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002425689,"about_ca_topic_score_gemma":0.0002339687,"domain_scores_codex":[0.9994285,0.0001088,0.00003242281,0.0001063363,0.0002614326,0.00006257949],"domain_scores_gemma":[0.9997436,0.00007770373,0.00005637298,0.00004762553,0.00003243216,0.00004226508],"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":[0.0002098233,0.0001145232,0.0002741747,0.0001529561,0.00003887908,0.0001610042,0.0000467921,0.003235734,0.9650303,0.001475751,0.001623489,0.0276366],"study_design_scores_gemma":[0.00004096055,0.0003745076,0.0004005005,0.000008034656,0.00002467575,0.0004725234,0.00001397563,0.009630281,0.9755841,0.0002374526,0.01318543,0.00002760858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2651001,0.002902819,0.7079488,0.0008829228,0.0002032733,0.001094013,0.002321688,0.009391259,0.01015514],"genre_scores_gemma":[0.5632503,0.00337143,0.401157,0.0007211301,0.0000905516,0.001113105,0.003965247,0.0003941141,0.02593705],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002716574,"threshold_uncertainty_score":0.009087861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330338659067623,"score_gpt":0.234114918004761,"score_spread":0.2208115314140847,"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."}}