{"id":"W2003547657","doi":"10.1371/journal.pone.0111781","title":"Transgene Detection by Digital Droplet PCR","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Transgene; Digital polymerase chain reaction; Computational biology; Biology; Polymerase chain reaction; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002804313,0.001578698,0.001020849,0.001876161,0.000416172,0.001297906,0.001549662,0.001400377,0.005472829],"category_scores_gemma":[0.004286457,0.000956797,0.0008156675,0.00120348,0.001571125,0.001066452,0.001344353,0.002220226,0.004285064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007401374,"about_ca_system_score_gemma":0.0006550867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002997832,"about_ca_topic_score_gemma":0.000526729,"domain_scores_codex":[0.9937219,0.001155186,0.0005414721,0.002831507,0.001420573,0.0003293368],"domain_scores_gemma":[0.9975552,0.0010339,0.0004494997,0.0004081298,0.0004576791,0.00009558535],"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":[0.00007259677,0.00005545661,0.0002568213,0.0002815468,0.00001417509,0.00006522768,0.0001371103,0.0002234795,0.9778398,0.0009673368,0.0006118196,0.01947453],"study_design_scores_gemma":[0.00002692195,0.0002098391,0.0004955721,0.00003666228,0.00002635781,0.0002063031,0.00003435115,0.006375237,0.9791464,0.0008819344,0.01252134,0.0000388874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0382245,0.001205173,0.9506111,0.0002104295,0.0003031093,0.0009425029,0.001449773,0.003334181,0.003719224],"genre_scores_gemma":[0.1060851,0.00206416,0.8765176,0.0004892406,0.00009096781,0.00284389,0.002637089,0.0006403966,0.008631571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005472829,"threshold_uncertainty_score":0.01830846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008560248104971505,"score_gpt":0.215024431838482,"score_spread":0.2064641837335105,"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."}}