{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001075101,0.0009162998,0.0007446017,0.0006325213,0.0003271751,0.0007348764,0.0008642874,0.001181133,0.001642825],"category_scores_gemma":[0.0009745488,0.0004861347,0.0005008982,0.000398928,0.0004355654,0.0005644743,0.0008788091,0.001278734,0.001794708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004778013,"about_ca_system_score_gemma":0.000391742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002138551,"about_ca_topic_score_gemma":0.0002780712,"domain_scores_codex":[0.9988266,0.0002280026,0.00005980595,0.0003279279,0.0004535848,0.0001041831],"domain_scores_gemma":[0.9995111,0.0001952142,0.00008890724,0.00006862617,0.00008600757,0.00005017442],"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":[0.0001184313,0.00005532017,0.0002906545,0.0001770136,0.00003139361,0.0001197773,0.00002552998,0.0003429811,0.9756564,0.0009661617,0.00064481,0.02157149],"study_design_scores_gemma":[0.00002984788,0.0001626043,0.0002751286,0.000006742023,0.00001770803,0.000519301,0.000007747013,0.002351646,0.9839077,0.0004269599,0.01227569,0.00001903397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1744695,0.01301553,0.7992586,0.001608558,0.0008882881,0.0008878143,0.001053179,0.002835949,0.005982571],"genre_scores_gemma":[0.3469939,0.005078977,0.6308358,0.001862104,0.000177282,0.0009689764,0.001289636,0.0001643462,0.01262902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001642825,"threshold_uncertainty_score":0.005685747,"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."}}