{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001434992,0.0002530917,0.000217278,0.0001363346,0.0000652453,0.00006135779,0.0001691248,0.0004430132,5.13535e-7],"category_scores_gemma":[0.00006803712,0.0002094244,0.00007835383,0.000203938,0.0002288432,0.0000227059,0.0001339351,0.0001858881,0.00000259304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002649577,"about_ca_system_score_gemma":0.00004758892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008474124,"about_ca_topic_score_gemma":0.000005726601,"domain_scores_codex":[0.9989136,0.000009694018,0.0002108451,0.0004449106,0.0001078724,0.0003131137],"domain_scores_gemma":[0.9993457,0.000009956206,0.00006548167,0.0004131215,0.00005592086,0.0001098629],"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":[0.0002007994,0.00009845943,0.001948569,0.00003777812,0.0001981127,0.00001876446,0.000008433168,0.0001656752,0.9676732,0.001810501,0.0002969298,0.02754275],"study_design_scores_gemma":[0.0005407045,0.0003817131,0.0008946218,0.00003462436,0.00006295548,0.00003592243,0.00007274855,0.002529698,0.9662909,0.0006917577,0.02793382,0.0005305477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8989986,0.001581554,0.09750631,0.001157123,0.0001186817,0.000160649,0.0000479402,0.0003589043,0.00007022392],"genre_scores_gemma":[0.9945873,0.0001955355,0.004594336,0.0002471263,0.00009005516,0.000009200287,0.000107011,0.00002495961,0.0001444815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09558868,"threshold_uncertainty_score":0.8540078,"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."}}