{"id":"W3091504386","doi":"10.1021/acs.analchem.0c03605","title":"Necessity and Challenges of Sample Preconcentration in Analysis of Multiple MicroRNAs by Capillary Electrophoresis","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sunnybrook Health Science Centre; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Isotachophoresis; Capillary electrophoresis; Chromatography; Detection limit; Peptide nucleic acid; Nucleic acid; Stacking; microRNA; Analyte; Electrophoresis; Sample preparation; Molecular biology; Computational biology; Electrolyte; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006111179,0.001390318,0.001257262,0.00118319,0.001036062,0.00232874,0.001651035,0.002512233,0.0006250556],"category_scores_gemma":[0.006603565,0.001070064,0.0008029355,0.0005793729,0.002925797,0.001471323,0.001389655,0.002946199,0.0008077757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147924,"about_ca_system_score_gemma":0.001793742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153217,"about_ca_topic_score_gemma":0.003241596,"domain_scores_codex":[0.992419,0.002150895,0.0004377659,0.001630721,0.002954609,0.0004071479],"domain_scores_gemma":[0.9947266,0.003284639,0.0003684929,0.0002981529,0.001151358,0.0001707555],"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":[0.00009466654,0.00005144197,0.001156311,0.0007207347,0.00007641388,0.000398277,0.0003420657,0.0007991963,0.9625239,0.002182127,0.0006476809,0.03100712],"study_design_scores_gemma":[0.00001545442,0.0002415662,0.001384139,0.0001255909,0.0000733567,0.001370141,0.000247429,0.01194357,0.9673377,0.002366783,0.01480966,0.00008468222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1763159,0.03625353,0.7728127,0.006240499,0.001146268,0.0009495364,0.0002784173,0.002060502,0.003942673],"genre_scores_gemma":[0.2753649,0.01512688,0.7017922,0.002910642,0.0003775025,0.000766008,0.0003265851,0.0004309475,0.002904401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006111179,"threshold_uncertainty_score":0.03231937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394356855611191,"score_gpt":0.2313748096935962,"score_spread":0.2174312411374843,"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."}}