{"id":"W2050030583","doi":"10.1038/nmeth.2736","title":"Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"National Institute of General Medical Sciences; National Human Genome Research Institute","keywords":"Biology; Multiplex; RNA; RNA-Seq; Transcriptome; Deep sequencing; Computational biology; Genetics; Allele; Gene; Multiplex polymerase chain reaction; Illumina dye sequencing; DNA sequencing; Gene expression; Polymerase chain reaction; Genome","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":[0.004020908,0.001750019,0.001383213,0.002201782,0.0009852992,0.002016406,0.001906968,0.001482618,0.003854364],"category_scores_gemma":[0.00405917,0.00141814,0.001150747,0.001209204,0.001351827,0.001205467,0.001380717,0.002310961,0.002406755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100405,"about_ca_system_score_gemma":0.001154051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003816512,"about_ca_topic_score_gemma":0.001542939,"domain_scores_codex":[0.9936916,0.0009723579,0.0004770278,0.002553896,0.001844492,0.0004606904],"domain_scores_gemma":[0.9978807,0.0009746964,0.0002523144,0.0004511179,0.0003066337,0.0001345706],"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":[0.0001536858,0.000217626,0.00118848,0.0001433975,0.00005672318,0.00004755935,0.0001068033,0.001378151,0.9564179,0.004378434,0.001077201,0.03483403],"study_design_scores_gemma":[0.00003100891,0.000197952,0.001146906,0.0000240308,0.00004604171,0.00009622243,0.00002764578,0.01956277,0.9697076,0.002665942,0.006446164,0.00004779332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05008234,0.000518828,0.9383485,0.0002937389,0.0004078565,0.0006640871,0.00159164,0.004518129,0.003574964],"genre_scores_gemma":[0.1024897,0.0004823576,0.8871455,0.0006465504,0.0001324015,0.002507595,0.0013831,0.0004389469,0.004773966],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004020908,"threshold_uncertainty_score":0.02126491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782784296434349,"score_gpt":0.3525636903084773,"score_spread":0.3247358473441338,"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."}}