{"id":"W2075826965","doi":"10.1021/ja801951p","title":"Aptamer-Facilitated Biomarker Discovery (AptaBiD)","year":2008,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":194,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; York University; University of Toronto","funders":"","keywords":"Aptamer; Chemistry; Biomarker discovery; Biomarker; In vitro; DNA; Molecular biology; Computational biology; Cell biology; Proteomics; Biochemistry; Biology; Gene","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":[0.000158281,0.0001343553,0.0002531319,0.00001177022,0.00008974823,0.00001106587,0.0003086177,0.00006557971,0.000001034856],"category_scores_gemma":[0.0001311858,0.00008006221,0.0007717245,0.0002600309,0.0008175522,0.000007871774,0.0001308837,0.0001942991,6.153684e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003929596,"about_ca_system_score_gemma":0.00006945332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001180546,"about_ca_topic_score_gemma":4.864536e-7,"domain_scores_codex":[0.9990776,0.00005177158,0.0002960192,0.0001596369,0.000231526,0.0001834475],"domain_scores_gemma":[0.9990344,0.00002054682,0.0004633769,0.0002770668,0.0001376067,0.00006699959],"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":[0.00007352426,0.00005290435,0.002482933,0.000002140579,0.0001575527,0.000002157024,0.00002524093,0.000001973141,0.9782167,7.657763e-7,0.01769976,0.001284347],"study_design_scores_gemma":[0.0001935086,0.0001005871,0.003422251,0.00001109415,0.00004596903,0.0001987289,0.0001342637,0.00002284443,0.984071,0.00003413427,0.01163088,0.0001347762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997677,0.0001709645,0.001265751,0.0007081683,0.00005215193,0.00003467008,0.000009445212,0.000009356173,0.00007248901],"genre_scores_gemma":[0.9907814,0.0005693498,0.007177451,0.0009506517,0.0001826151,6.465979e-7,0.000004392873,0.00001246787,0.0003209776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006895556,"threshold_uncertainty_score":0.3264842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199892448096711,"score_gpt":0.2649518159382029,"score_spread":0.2529528914572358,"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."}}