{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000926564,0.0005683213,0.0004178806,0.0003007852,0.0003140697,0.000780851,0.0007445954,0.003325177,0.001580749],"category_scores_gemma":[0.002559422,0.0004054675,0.000230552,0.0002451796,0.00103763,0.0005737689,0.0004887067,0.001907659,0.002337077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009422142,"about_ca_system_score_gemma":0.0002711544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002808245,"about_ca_topic_score_gemma":0.0005242502,"domain_scores_codex":[0.998204,0.0003634817,0.00009327915,0.00037643,0.000847734,0.0001150641],"domain_scores_gemma":[0.9987214,0.0006632035,0.0001354229,0.0001644355,0.0002463981,0.00006908169],"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":[0.0001756087,0.00007756347,0.00099336,0.0002712997,0.00002346503,0.001209415,0.0001397743,0.0001401696,0.9609249,0.002185419,0.008900503,0.02495855],"study_design_scores_gemma":[0.00003903598,0.0002822676,0.001460977,0.00002240197,0.00002330138,0.005245547,0.00004136396,0.004364456,0.9268364,0.001556,0.06008434,0.00004385594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4248004,0.02334783,0.4168992,0.05899845,0.009841363,0.0005374081,0.00115,0.003755531,0.06066981],"genre_scores_gemma":[0.7839367,0.005410563,0.153582,0.0152077,0.001347467,0.0006139211,0.0005857255,0.0001827155,0.03913303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003325177,"threshold_uncertainty_score":0.006836295,"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."}}