{"id":"W3163189192","doi":"10.3389/fcell.2021.662791","title":"Advances in Screening and Development of Therapeutic Aptamers Against Cancer Cells","year":2021,"lang":"en","type":"review","venue":"Frontiers in Cell and Developmental Biology","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Aptamer; Cancer; Immunotherapy; Medicine; Disease; Targeted therapy; Cancer immunotherapy; Pharmacology; Computational biology; Biology; Pathology; Internal medicine","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":[0.0005841645,0.0009381442,0.001033235,0.002177866,0.0002387306,0.000828518,0.0005998405,0.0008144109,0.002759103],"category_scores_gemma":[0.0005321486,0.0003761834,0.000597057,0.001825099,0.000315286,0.001157653,0.0005399071,0.001444606,0.002275901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000502235,"about_ca_system_score_gemma":0.0007622293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006065915,"about_ca_topic_score_gemma":0.0007980543,"domain_scores_codex":[0.9997136,0.00003853551,0.00002464935,0.00005538841,0.0001347562,0.00003297522],"domain_scores_gemma":[0.9998253,0.00007923128,0.00002133901,0.000006698832,0.00005460068,0.0000129115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005508126,0.0001052406,0.00018794,0.01653873,0.0000687,0.0002239072,0.00009439398,0.0007213193,0.02076531,0.006964452,0.01568499,0.9385899],"study_design_scores_gemma":[0.00001064377,0.0001356657,0.0004486039,0.001284532,0.00008539665,0.0008046681,0.00003822458,0.0002374528,0.009446586,0.001653287,0.9858301,0.00002489217],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005368665,0.9940149,0.001244495,0.0002330471,0.0001982982,0.00001722819,0.00004855356,0.00003117333,0.003675453],"genre_scores_gemma":[0.002354915,0.9943761,0.001028185,0.0002089871,0.00009573787,0.00002270719,0.00007446026,0.00000515669,0.001833747],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002759103,"threshold_uncertainty_score":0.009230077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940781351498531,"score_gpt":0.3042478196965414,"score_spread":0.2848400061815561,"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."}}