{"id":"W2551686398","doi":"10.1089/nat.2016.0632","title":"Aptamers: Promising Tools for the Detection of Circulating Tumor Cells","year":2016,"lang":"en","type":"review","venue":"Nucleic Acid Therapeutics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Institut National de la Recherche Scientifique","funders":"","keywords":"Circulating tumor cell; Aptamer; Metastasis; Primary tumor; Cancer; Cancer metastasis; Liquid biopsy; Computational biology; Cancer research; Biology; Medicine; Internal medicine; Molecular biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003159561,0.0003306696,0.0006479118,0.00005621692,0.0001461596,0.00004546778,0.0003154928,0.0003154139,9.788999e-7],"category_scores_gemma":[0.00006657912,0.000188112,0.0006702198,0.00013356,0.0001616172,0.000005506433,0.00007676373,0.0001447217,0.000001819764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003827739,"about_ca_system_score_gemma":0.00008469358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001077613,"about_ca_topic_score_gemma":0.000001755841,"domain_scores_codex":[0.998617,0.00009354357,0.0005080427,0.0003907215,0.0001363207,0.0002543829],"domain_scores_gemma":[0.9984128,0.0001440574,0.0006690116,0.0006035409,0.0001413498,0.00002921907],"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":[0.000009807895,0.00001167365,6.465794e-8,0.0004732727,0.000269995,2.244231e-7,0.000005323158,9.680549e-8,0.3202254,0.000005784524,0.000004189138,0.6789942],"study_design_scores_gemma":[0.00009233255,0.0001155681,1.681962e-7,0.001021051,0.0006820012,0.0000157322,0.00002333921,0.00002754603,0.2821458,0.00003710145,0.7156215,0.000217949],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000091998,0.9712671,0.02732329,0.00001870298,0.0001671321,0.0009106671,0.0001068358,0.00003868671,0.00007557392],"genre_scores_gemma":[0.01863345,0.9779744,0.002661748,0.0001010411,0.000389233,0.00004947735,0.00004652615,0.00008463557,0.00005946791],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7156172,"threshold_uncertainty_score":0.7670987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276172937505624,"score_gpt":0.3338180518112007,"score_spread":0.2810563224361444,"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."}}