{"id":"W3188629908","doi":"10.3390/cancers13163984","title":"Breast Cancer Aptamers: Current Sensing Targets, Available Aptamers, and Their Evaluation for Clinical Use in Diagnostics","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Aptamer; Breast cancer; Cancer; Medicine; Disease; Computational biology; Bioinformatics; Biology; Pathology; Internal medicine; Molecular biology","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":[0.001195177,0.001046632,0.001110174,0.002436208,0.0002254722,0.001107761,0.0009226697,0.001660975,0.002568312],"category_scores_gemma":[0.001182787,0.0005012041,0.0005117498,0.001969536,0.0006871236,0.001680563,0.0006746809,0.002201067,0.002441754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008121994,"about_ca_system_score_gemma":0.0007773075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006055647,"about_ca_topic_score_gemma":0.0008328282,"domain_scores_codex":[0.9994954,0.00008224179,0.00004248182,0.0000910576,0.0002404156,0.00004833934],"domain_scores_gemma":[0.999473,0.0002701113,0.00005350405,0.00001693147,0.0001537,0.00003278112],"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":[0.00007824487,0.00008915125,0.0002042486,0.01039914,0.00005649235,0.0001919719,0.00006980273,0.0005146022,0.01088767,0.006283172,0.02106954,0.950156],"study_design_scores_gemma":[0.0000119027,0.000149141,0.0004248258,0.001630069,0.00005030396,0.001090844,0.00004046325,0.0002215429,0.004985474,0.002487933,0.9888813,0.00002620137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002297888,0.9967688,0.0007472949,0.0003454789,0.0002943781,0.000009857625,0.00002255196,0.00001523402,0.001566543],"genre_scores_gemma":[0.001699736,0.9951131,0.0007995015,0.0004350099,0.0002168774,0.00002038748,0.00005304394,0.000005102468,0.001657264],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002568312,"threshold_uncertainty_score":0.008591831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250120904996296,"score_gpt":0.4352230614974528,"score_spread":0.3102109709978231,"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."}}