{"id":"W2346316995","doi":"10.1038/srep14629","title":"Computational analysis of stochastic heterogeneity in PCR amplification efficiency revealed by single molecule barcoding","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Unilever","keywords":"Primer (cosmetics); Computational biology; Context (archaeology); Biology; Polymerase chain reaction; DNA sequencing; DNA barcoding; DNA; Genetics; Gene; Evolutionary biology; Chemistry","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":[0.0008016255,0.0000965913,0.0001661358,0.0002011332,0.00006357777,0.00002896287,0.0001342142,0.00008870591,0.000005304406],"category_scores_gemma":[0.0001518982,0.00009854322,0.00009682994,0.0008164969,0.0001783838,0.000003838914,0.00007140274,0.00004366738,0.000001127344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002803991,"about_ca_system_score_gemma":0.00008586171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002362874,"about_ca_topic_score_gemma":0.00002541871,"domain_scores_codex":[0.9985768,0.00005943326,0.0004263089,0.0005660187,0.0002084047,0.0001630686],"domain_scores_gemma":[0.9989067,0.000008169475,0.0002538836,0.0005339823,0.0002161649,0.00008111463],"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":[0.000007688657,0.0001899621,0.006277753,0.000003744321,0.00005021136,0.000003257769,0.0000337389,0.01834861,0.9728414,0.00007796517,0.001985718,0.0001799267],"study_design_scores_gemma":[0.0004527441,0.000266559,0.007690398,0.00002609445,0.0002673862,0.0000646422,0.00009334371,0.02597509,0.9570286,0.003482346,0.004097191,0.0005556357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7445254,0.0001686567,0.2548207,0.00003419991,0.00009526359,0.0001750509,0.00001352029,0.000010512,0.0001566975],"genre_scores_gemma":[0.9961517,0.000001018041,0.002357688,0.00002703053,0.000008278236,0.00003685489,0.001313044,0.000007379548,0.00009702566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.252463,"threshold_uncertainty_score":0.4018476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02312062307639404,"score_gpt":0.291182501034718,"score_spread":0.268061877958324,"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."}}