{"id":"W2322641183","doi":"10.1021/ac301546p","title":"Detection of a Thousand Copies of miRNA without Enrichment or Modification","year":2012,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Detection limit; Chemistry; microRNA; Breast cancer; Lysis; Capillary electrophoresis; Molecular biology; Liquid biopsy; Cancer cell; Human breast; Chromatography; Fluorescence; Computational biology; Cancer; Gene; Biochemistry; Biology; Genetics","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":[0.0001312781,0.0002584599,0.0004470334,0.00004242618,0.00002837273,0.00000766128,0.0001871106,0.0008713767,0.00001357908],"category_scores_gemma":[0.0001176741,0.0002000453,0.0002431122,0.0001347856,0.0002465988,0.000002920644,0.00007411829,0.0003461937,9.716204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002894255,"about_ca_system_score_gemma":0.00005925301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001297251,"about_ca_topic_score_gemma":0.000002760062,"domain_scores_codex":[0.9986308,0.00003355461,0.0004585177,0.0003721493,0.0002677809,0.0002372572],"domain_scores_gemma":[0.9987393,0.00002570907,0.0004110822,0.0005599321,0.0002135426,0.00005044274],"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":[0.000103457,0.00006786694,0.0002769515,0.0003771017,0.0002371889,0.000002927065,0.000005024735,9.344973e-7,0.9763481,6.21525e-7,0.02170623,0.0008735647],"study_design_scores_gemma":[0.000130635,0.0000801297,0.00004448189,0.0000590544,0.0003144613,0.00001585953,0.00001233619,0.00005816243,0.9109797,0.00001648618,0.08807429,0.0002143334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194466,0.003982613,0.02774442,0.03624044,0.0003095049,0.001230942,0.0006425875,0.0002441883,0.01015871],"genre_scores_gemma":[0.9904104,0.0002781893,0.0008959845,0.003269666,0.0009248767,0.00001057541,0.000486706,0.00003081149,0.003692743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07096386,"threshold_uncertainty_score":0.8157611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901880076589965,"score_gpt":0.2970693874148169,"score_spread":0.2780505866489173,"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."}}