{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006887869,0.0004150786,0.00112364,0.00009678031,0.00007262066,0.00005800196,0.0001124287,0.0004160123,0.000005078212],"category_scores_gemma":[0.0004108128,0.000335623,0.0004371064,0.0002150397,0.0001842585,0.00000818539,0.0001065671,0.0002921436,6.619992e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005076299,"about_ca_system_score_gemma":0.001578802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001169605,"about_ca_topic_score_gemma":0.000389712,"domain_scores_codex":[0.9977171,0.0002960757,0.0006340007,0.0008834937,0.0001328306,0.0003365117],"domain_scores_gemma":[0.9985616,0.0001820112,0.0004034037,0.0004213712,0.0003264828,0.0001051833],"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":[0.00001483355,0.000015168,0.00007176999,0.0007517729,0.0001992877,0.000001541859,0.000006462424,0.000004691712,0.00002531297,0.000001181787,0.01103784,0.9878702],"study_design_scores_gemma":[0.0002744704,0.00004760427,0.00000620622,0.004886146,0.0007327585,0.00002020434,0.00003990613,0.0005209272,0.0001871009,0.000006084225,0.9928343,0.0004442956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000209818,0.9973449,0.0004449914,0.00001920072,0.0004712598,0.0008157475,0.000667748,0.00001627426,0.00001003104],"genre_scores_gemma":[0.0001986116,0.996237,0.001319087,0.0000798555,0.0006039871,0.0001018912,0.001332256,0.00005601384,0.00007127381],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9874259,"threshold_uncertainty_score":0.9999096,"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."}}